{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3ebeb0c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.cluster import DBSCAN\n",
    "from scipy.spatial import distance\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from sklearn.metrics import silhouette_score  \n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import calinski_harabasz_score  \n",
    "#set OMP_NUM_THREADS=3\n",
    "plt.rcParams['font.family'] = ['sans-serif']\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] \n",
    "\n",
    "x = pd.read_csv(\"D:/forestfires.csv\")\n",
    "x_train = x.iloc[1:, 5:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "091216b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "一元线性回归方程为：y=-1.49x+72.41\n",
      "R2为： 0.2785154685995589\n"
     ]
    }
   ],
   "source": [
    "# 线性回归模型\n",
    "Linear = LinearRegression() \n",
    "temp_data = x_train[[\"temp\"]]\n",
    "RH_data = x_train[[\"RH\"]]\n",
    "Linear.fit(temp_data, RH_data)  \n",
    "predict_data = Linear.predict(temp_data) \n",
    "plt.scatter(temp_data, RH_data, c = 'blue')\n",
    "plt.plot(temp_data, predict_data, c = 'red')\n",
    "plt.title('一元线性回归方程')\n",
    "plt.xlabel('temp')\n",
    "plt.ylabel('RH')\n",
    "plt.show()\n",
    "w = Linear.coef_[0][0]\n",
    "b = Linear.intercept_[0]\n",
    "R2 = Linear.score(temp_data, RH_data)\n",
    "print(\"一元线性回归方程为：y={:.2f}x+{:.2f}\".format(w,b))\n",
    "print(\"R2为：\", R2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "04555ca4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=3.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SSE:  57794.84697747006\n",
      "Silhouette Coefficient:  0.5550442114385086\n"
     ]
    }
   ],
   "source": [
    "#K-means聚类分析\n",
    "X = x_train[['temp','RH']]\n",
    "K=range(1,10)\n",
    "meanDispersions=[]\n",
    "sse=[]\n",
    "silhouette_scores = []\n",
    "for k in K:\n",
    "    kmeans=KMeans(n_clusters=k,init='k-means++', n_init=3)\n",
    "    kmeans.fit(X)\n",
    "    sse.append(kmeans.inertia_)\n",
    "    if k != 1:\n",
    "        silhouette_avg = silhouette_score(X,kmeans.labels_)\n",
    "        silhouette_scores.append(silhouette_avg)\n",
    "# 绘制不同k值的SSE值图\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1) \n",
    "plt.plot(K,sse,'bx-')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('SSE')  #SSE是每个点到其最近的聚类中心的距离的平方和\n",
    "plt.title('用肘部方法选择K值')\n",
    "# 绘制不同k值的轮廓分数图\n",
    "plt.subplot(1, 2, 2)  \n",
    "K_list = range(2,10)\n",
    "plt.plot(K_list,silhouette_scores, 'go-')  \n",
    "plt.title('用轮廓系数法选择K值')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('轮廓系数')  \n",
    "plt.tight_layout() \n",
    "plt.show() \n",
    "#由SSE的拐点和轮廓系数最高点来确定k值\n",
    "k_KMeans = 2\n",
    "kmeans=KMeans(n_clusters = k_KMeans, init='k-means++', n_init=3)\n",
    "result=kmeans.fit_predict(X)\n",
    "plt.scatter(temp_data[result == 0],RH_data[result == 0],c='red', marker='o',label = 'class 1')\n",
    "plt.scatter(temp_data[result == 1],RH_data[result == 1],c='green', marker='*',label = 'class 2')\n",
    "plt.legend()\n",
    "plt.title('K-means聚类分析')\n",
    "plt.xlabel('temp')\n",
    "plt.ylabel('RH')\n",
    "plt.show()\n",
    "print(\"SSE: \",kmeans.inertia_ )\n",
    "print(\"Silhouette Coefficient: \", silhouette_score(X,kmeans.labels_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7dafcb82",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "eps为2.332380757938121\n",
      "MinPts为4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:26: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==-1], X['RH'][y_dbscan==-1], c=\"green\", marker='*', cmap='viridis', label='class1')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:27: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==0], X['RH'][y_dbscan==0],c=\"red\", marker='o', cmap='viridis', label='class2')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:28: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==2], X['RH'][y_dbscan==2],c=\"blue\", marker='+', cmap='viridis', label='class3')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:29: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==3], X['RH'][y_dbscan==3], c=\"gray\", marker='x', cmap='viridis', label='class4')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:30: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==4], X['RH'][y_dbscan==4],c=\"brown\", marker='s', cmap='viridis', label='class5')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:31: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==5], X['RH'][y_dbscan==5],c=\"orange\", marker='d', cmap='viridis', label='class6')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:32: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==6], X['RH'][y_dbscan==6], c=\"black\", marker='1', cmap='viridis', label='class7')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:33: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==7], X['RH'][y_dbscan==7],c=\"pink\", marker='2', cmap='viridis', label='class8')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:34: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==8], X['RH'][y_dbscan==8],c=\"gold\", marker='3', cmap='viridis', label='class9')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:35: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==9], X['RH'][y_dbscan==9],c=\"purple\", marker='4', cmap='viridis', label='class10')\n",
      "C:\\Users\\Yimso\\AppData\\Local\\Temp\\ipykernel_15612\\4229897826.py:36: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  plt.scatter(X['temp'][y_dbscan==10], X['RH'][y_dbscan==10],c=\"cyan\", marker='^', cmap='viridis', label='class11')\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjQAAAHCCAYAAAD4qFOaAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAACrwElEQVR4nOyde1xU1fr/P8Nwk4sjKJABAlmpReqpLIRMzS4a5j1NLa+ZtzopReX3oOk5amamlSkes7QC9eSFvJSmdsC85DHzivhDETDBW4AOzCiDzqzfH7sZZoa57D2z5/68X6/9GmZf1nrW2hv2w1qf9TwSxhgDQRAEQRCEB+PnagMIgiAIgiDshRwagiAIgiA8HnJoCIIgCILweMihIQiCIAjC4yGHhiAIgiAIj4ccGoIgCIIgPB5yaAiCIAiC8HjIoSEIgiAIwuMhh4YgCI9ArVajvr6+yX7GGG7dugWhMUIbGhp0P5eUlCAvL8+gzAMHDvAqR6VS6X6uq6tDQUEBr+vKy8uxfv163Llzx+J5jDHcvHmTV5kE4ctIKFIwQRCewKFDh9C1a1cAgFQq1e1Xq9UAgP/85z+4fPkyAgMDIZFIdMdHjRqFkJAQg7Lmzp2Ln3/+Gdu3b0doaCi+/vprzJgxA5cuXQIAZGdnY+rUqTh06BAee+wxizYNGTIEP/30Ex588EGsX78eo0aNQklJCdq0aWOxPevXr8fLL7+M27dv6+y9evUqLly4gMrKSpw/fx7Hjx/H3r17cd9992HXrl3w9/cX0GME4VvQCA1BeDkFBQWQSCSQSCQICwvDY489hi+//FJ3PDExUXc8MDAQHTp0wKpVqwzK+PPPPzFy5EhERkaiZcuWmDx5ssEIBwAcPnwYKSkpaNasGR544AHs2LGjiS0nTpyARCLBV199ZbB/9uzZkEgk+Pnnn3X71qxZA4lEohvxeOyxxyCXywEAd+7c0W3t2rXDzz//jICAABQVFaGoqAj/7//9P3z33Xf4+OOPmzgzADBmzBhcunQJvXv3Rl1dHaRSKQIDAwEA+/btQ0ZGBpYuXWrRmQGAf/3rXwgPD0f79u0BAEOHDkWHDh0wffp0i9cBQHBwMGQymYHzNW3aNDz77LNYvHgxjh07hsTERMyZMwezZs0yOTpFEEQj5O4ThI+Qm5uLli1b4uuvv8arr76KixcvYvbs2QCA4cOHIyMjA2q1Gj///DMmTJiAVq1aYcCAAdBoNBgwYAD8/Pzw3XffobS0FNOmTUPr1q0xa9YsAMC5c+fw9NNPo0ePHvjxxx/xww8/oH///jh9+jTuu+8+nQ27d+8GAOzatQvjxo1rYmN2djZ69epl0n4/Pz/4+XH/g+k7Adpj0dHRALjRF5lMhr59++KVV14xOO/y5ctQqVQICgrC6tWr8eabb+LKlSuQy+VQq9W4cuUKduzYgaFDh2Lw4MGoqKiASqVCQkJCk9GRffv24ccff8T333+vGzHy8/PDZ599hp49e2L16tUYO3Zsk3bcuXNHV5a2HRqNBhKJBMHBwRgwYADWrFljsg8IgrAAIwjCq8nPz2cA2LFjx3T7Bg4cyAICAtjVq1dZQkICe/PNNw2uSU1NZcOGDWOMMXbixAkGgP3++++641OnTmWJiYm67y+//DKLiYlhN2/e1O174IEH2GuvvWZQ7jPPPMOCgoJYq1atmEaj0e1///33GQDm7+/PKisrGWOMrV69mgFg+fn5uvPq6uoYAHbr1i3dds8997D8/Hx27Ngx1rNnT3b33Xezf/3rX0wmk7E///zToP7BgwczACwoKIiFhoay0NBQFhgYyAAwiUSi22d8rKyszKAchULB2rZty3r16mWyz998800WGBjIfvjhhybH2rVrxyQSCfP399e1GQDbt28fmzBhAhs9erTJMgmCsAxNORGEDzJx4kTcvn0bO3fuNHncz89PN8VRVVUFgJt20vLuu+/i66+/BsCNLmzduhXp6elo1qyZ7pxHH30UhYWFuu/19fXYv38/3nzzTVRVVeHo0aMGdYaEhCA0NLTJdJcp4uLidFt5eTkAoHPnzvjvf/+Lt956CzNnzsS9997bRCj8zTffoKGhAfX19VAoFDh16hTuuusudOrUCW3atMGlS5fwyCOP4JtvvoFCoYBKpQJjDImJiQbl/P3vf0dVVZVZWz/66COkp6ejf//+WLRokYEde/bswcWLFzF8+HBERkbi4sWLKC8vx6OPPgqpVArGmMGU2p07d9DQ0IC6ujqr/UIQvgw5NAThg3Tq1AkAcObMGYP9t2/fxsaNG3Hw4EH07dsXANClSxdERUVhzJgxWLduHTQaDeLj4/Hkk08CAP744w/U1taiXbt2BmW99957WLBgge77/v37cevWLUyZMgVRUVHYtWuXwfkBAQEYM2YMvvjiC53Q1xxVVVWoqqpCUVEREhIS8MMPP6C2tha//fYbli9fjn/84x9ITEzEgw8+iC1btuiuCwkJQUBAAABg8+bN6NKlC/r27YuMjAxoNBo0a9YMPXv2xEsvvYQBAwbg8uXLTer+5z//idWrV2P27NlgjOHixYuoqKgw2K5evYolS5bgpZdeQmZmJrp27Yrz588D4JyxyMhI/PDDD5BIJIiJicFdd92F4OBgMMbwzTffICAgwGALCgpC8+bNLfYJQfg8rhweIgjC8ZiaclKpVAwAmzhxIktISGAADLYJEyYYlPHbb7+xpKQkBoC1b9/eYCrlf//7HwPAvvjiC4t2ZGZm6qapBg8ezHr27Kk79v777zOZTMaKi4uZRCJh33//fZMpp59++okNGzaMAWBt27ZlzZo1Y82aNWP+/v6sR48e7LPPPmMymYx99dVX7NatW+zOnTvszTffZOPGjdPVU19fz7Zu3cqefPJJ1qJFC7Zq1SrGGGOrVq1i0dHRuvNOnDjB2rdvzyIiIti6det0+3fs2MEAsA8//JA999xzTfrNePviiy/YmjVrWK9evZhKpdKVs2zZMgaAtWzZkg0cOJC9/vrrjDHGRowYwSZMmKCbTnv11VfZkCFDmFwuZ9euXbPYvwTh69AIDUH4IFoxKvtrKmTEiBE4duwYDhw4gMzMTKxatQrLli3Tnf/oo4+iuLgYq1atglKpRN++fbF06VIAjXFYtIJdc+zevRs9evQAAPTo0QMHDhyAUqk0OOf+++9Hr169kJ2d3eT6iIgIBAQE4JNPPkF2djaOHDmC06dP49lnn8UzzzyDGzduoGvXrsjOzkbz5s3x888/45NPPsGKFSt0Zfzyyy8YOnQoOnbsiOLiYowfPx4A0KZNG9x111266bWOHTvi8OHDePrpp3WrnwCgd+/e+O233/DOO+9g3bp1uH79OpYvX47AwEDcuHEDdXV1qKurQ1lZGQBuBdno0aOxZ88eXTkKhQL/+te/8MgjjwAARo4ciezsbJw4cQJ1dXWIiopCcHAwgoODIZVKIZVK0bx5c0RFRVnsX4LwdWiVE0H4INevXwcAREZGAgCioqLQuXNnAEBqairOnTuHd955BxMnTtStyAkICMD48eMxdOhQ9OvXD2+//TaGDBmCsLAwAGjinCxZsgSHDx/GunXr8Oeff+LEiRM4fvy4wQqevXv34vnnnze4burUqRg0aBC6dOlisL9Lly5YsGABHnzwQSgUCjRr1gwxMTFo1aoV3n//fQwcOBBPPfUU4uPjERkZicLCQnTu3Fm3+gkA2rZti4MHDyIqKgoNDQ2oqKgAwK1+KiwsxJ9//mmwPPqjjz6CSqVCdXU1WrZsCYBz7gDOwQKA8+fPo0OHDpDJZLrrtNNLpmLR/N///R9UKhX+/ve/IyMjA4MHD8aIESNw69YtFBcX46mnnjJ90wiCsAg5NAThg5w6dQoA8OCDD5o8ft999+H777/Hn3/+iZUrV6KwsBAbNmwAAISHh+Ojjz5Cly5dcPr0aTz++OOQSCQoLS01KOP333/X7du9ezcYYygoKNC9+NPT07F79+4mDs0LL7yAuLi4JrFqACA2Nha//PIL5s6diylTpuhGfFq0aIGYmBhMnz4d586dw5w5c7B3716Eh4djwoQJuuufffZZXLlyBVKp1GDpt1KphEajwaOPPqrT2ADQCXI/+OADvPXWW03sYYxh27ZtTdqgdZTi4uIM9ufn52Pp0qX48ssvDTQxWhFySUmJTt9EEIQwaMqJIHyQL774AsHBwU1exFqKiooQGBiIyMhI+Pv7Y+fOnQYjMNXV1QCAhIQEhIeHo2vXrvjxxx91Yfw1Gg1+/fVX3bTK7t27ce+996J79+7o3LkzOnfujCeffLKJMBjgogBPnDhRF7VXS0NDA7Kzs/H0008jICAALVu2xD/+8Q/cvn0bABfYLyEhAc899xz69OmDP/74w8CZAbgUBwqFAnK5HDdu3MCNGzdQVFSEkJAQPPDAA+jYsSOuXLmiO6ZQKNDQ0GDSmQGA1atX49y5c03izVRWVqJly5ZNgvp1794dn3zyickYPNrUC9oRIIIghEEODUH4CEVFRdi9ezdGjRqF//znP1i4cKFuyunatWs4cuQI8vPz8c477+CHH37AkCFDEBQUhFdeeQWMMQwePBh79uzBxo0b8frrr+O5557TBc2bP38+SktLMWzYMOzevRtjx45FRUUFJk+eDIBbqtytWzcDe5588kkUFRWhsrKyia0TJkww0K40NDQgJSUFS5YswZo1a/D666+jX79+2LNnj27Z9scff4w5c+bg5s2bKCgowMmTJ63md6qpqcHLL7+MRx55BL///jsCAwORnp6OixcvWu3PzZs34/XXX8frr7+Ojh07Ghw7e/Ys4uPjm1zj5+eHN998EwAMbGOM4bPPPkNaWhrCw8Ot1k0QhAlcKEgmCMIJaFc5AWAhISEsLS2N5eXl6Y7rr3IKDAxk9913H5s1axZTKpW6c/73v/+xJ598kjVv3pzFxsayiRMnsuvXrxvU89NPP7HOnTuzwMBAlpyczHbt2sUYY6yoqIgBYF9++aXB+YWFhQwA++qrr3SrnPQZMWKEwSqnCxcusFOnTrHhw4ez4OBgNn/+fHbnzh3GGGPNmzdne/fuZYwxdu3aNTZhwgQWFBTEoqKimgQNZIwLjPfVV1+xNm3asCeffJJVV1czxhi7efMme/nll1nz5s3ZP/7xD3bhwoUm11ZWVrLp06czPz8/NmLECJ0NjDGWnZ3N3n77bRYeHs4mTZpk/qYwxtavX8+aN2/OGGPsvffeYwDYpk2bDM4ZN24cGzx4sMVyCILgIIeGIAiPQKPRsJEjR7LevXuzoqIig2MBAQFsx44dBvv+/PNPlp2dzQ4cOKDbt3DhQvbcc8+xsLAwFh0dzT788EOD5dRaNmzYwNq2bcskEgnr3Lmzbsm7Wq1m/fr1Yy1btmQrV65sct3ChQtZQkICmzRpUhOHz5hvvvmGBQYGMo1Gwz766CPWt2/fJueMHDmSpaenWyyHIAgOyrZNEITHwBhrksdJCKtWrcK+ffvQv39/pKenIygoyOy5t2/fxrZt21BQUIDPPvtMt1+pVKK+vl636slW6urqcO3aNbRt29aucgiC4CCHhiAIgiAIj4dEwQRBEARBeDzk0BAEQRAE4fGQQ0MQBEEQhMdDDg1BEARBEB6PT6Q+0Gg0uHTpEsLDw+1aIUEQBEEQhPNgjKGurg5333231QS4PuHQXLp0yWTUToIgCIIg3J+LFy82yY1mjE84NNpQ4hcvXjRICEcQBEEQhPtSW1uL+Ph4XilBfMKh0U4zNW/enBwagiAIgvAw+MhFSBRMEARBEITHQw4NQRAEQRAeDzk0BEEQBEF4PD6hoSEIgiAIc2g0GjQ0NLjaDJ8lMDDQ6pJsPpBDQxAEQfgsDQ0NKCsrg0ajcbUpPoufnx+SkpIQGBhoVznk0BAEQRA+CWMMly9fhlQqRXx8vCijBIQwtIFvL1++jDZt2tgV/JYcGoIgCMInuXPnDm7evIm7774bISEhrjbHZ4mKisKlS5dw584dBAQE2FwOuaMEQRCET6JWqwHA7qkOwj60/a+9H7ZCDg1BEATh01COP9ciVv+TQ+NDMMZQUF4AxpirTSEIgiAIUXGZQ1NdXY2kpCSUl5fr9hUWFqJLly6IiIhAZmamwYvX0jGCHztLdqLn1z3x0/mfXG0KQRAE4SDKy8udOur066+/ol27dk6rzxwucWiqqqrQt29fA2dGpVLhhRdewCOPPIIjR46gqKgIa9assXqM4M/Goo0GnwRBEIQ4+OoI+NGjRzFw4ECoVCpXm+Iah+all17CSy+9ZLBvx44dkMvlWLx4Mdq2bYv58+fjyy+/tHqMMI+GabDs8DLM+2Ue5v0yDxvPNDo02n3LDi+DhlH8BYIgCHvwxRFwpVKJgQMHYsqUKa42BYCLHJqVK1fizTffNNh34sQJpKSk6JbOdezYEUVFRVaPmUKlUqG2ttZg80WUDUrMKpiFrPwszMyfCWWDEgCgaFBgZv5MZOVnYVbBLN1+Qhx89T81gvBlnD0CfuzYMXTt2hVhYWFIS0vD6dOnrV6zb98+dO7cGSEhIejSpQsKCwt1x3bt2oUOHTogJCQEaWlpOH/+vO5YTk4OEhMTERoaij59+qC6uhoAEBAQgIMHD+LJJ58Uv4E24BKH5p577mmyr7a2FklJSbrvEokEUqkU169ft3jMFB988AFkMplui4+PF78RHkB4UDiOTTyG1LhUAICaqQ0+U+NTcXzicYQHhbvMRm/EF/9TIwhfw5Uj4LW1tejduzf69euH4uJipKSkYOTIkZbt1WgwZMgQvPjiiygtLUVqaioyMzN1x0eNGoXx48fj7NmzSE5ORlZWFgBAoVBg7NixWLBgAYqKiuDv749FixYB4JZbx8bGit4+W3GbwHr+/v4ICgoy2BccHIybN29aPBYREdGkrBkzZiAjI0P3vba21medmjayNsgfk4/IDyOhvN04EhMSEIKC0QUIkNoexIgwjf5/ar3v7e1iawiCcATaEfCaWzWQQAI/CTc+oB0BZ2CIbBaJUZ1Gif5P4/bt2xEZGYkZM2YAALKysvDYY49Zve7EiROQyWQ4efIk6urqcPbsWd2xZs2aQaVSQSaTYcWKFbpUEFKpFAEBAVCpVIiOjsbWrVvddvTZbZZtR0ZG4s8//zTYV1dXh8DAQIvHTBEUFITmzZsbbL7M4crDBs4MAChvK3G48rCLLPIuSKtEEL6HK0fAKyoqkJiYqPseERGBYcOGWbzGz88PixcvRmxsLKZOnQq5XG4QyG7dunUoKChA69at8cQTT+Do0aMAOEdnw4YNWLlyJaKiotC7d2+UlpaK3iYxcBuHpkuXLjh06JDue3l5OVQqFSIjIy0eI6yzrXgbAGBA+wEoeaME/dv1BwBsLd7qSrO8BtIqEYRvoh0BDwkwTJugHQGPlzlmZiA+Ph5lZWW67wqFAsnJybhy5YrZawoKCpCdnY0zZ87gyJEjGD9+vO6YUqmEUqnE7t27UVNTg27dumHcuHEAuBArEREROHDgAK5evYro6GhMnz7dIe2yF7dxaJ588knI5XJ88803AIAFCxbg6aefhlQqtXiMsE6/dv2QOygXm4duRtvItsgblofcQbno166fq03zCkirRBC+iytGwNPT03H9+nXMnz8fFRUVmDt3LtRqNWJiYsxeo1AoAAByuRwHDhxARkaGbupIo9EgPT0dOTk5qKqqgp+fn27KqaqqCr169cLOnTtRW1trcMztYC4EACsrK9N9z8vLY82aNWPR0dGsZcuWrLCwkNcxa8jlcgaAyeVyMc0nCANUd1QsdF4ow2zottB5oazhToOrTSMIwgS3bt1iRUVF7NatWzaX8c6udxhmgw1YP4CVVJew/uv6M8wGe2fXOyJa2pSjR4+ylJQUFhYWxrp3787OnDmjO1ZWVsaMX++3b99mI0aMYKGhoSw5OZktWrSI+fv7sytXrjDGGNuwYQNr3749Cw4OZsnJyWzv3r26a5ctW8YSExNZcHAwe/zxx5u8f/Pz81lCQoLNbbF0H4S8vyWMuZe6p7KyEkeOHEFqaiqioqJ4H7NEbW0tZDIZ5HK5z+tpCMex/4/96La6W9P9Y/cjrU2aCywiCMIS9fX1KCsrQ1JSEoKDg20q48AfB3BBfgHDk4dDIpGAMYZ1heuQIEug33ueWLoPQt7fbjPlpCU2Nhb9+/c36bBYOkZ4J8yDYrqQVokgfI+0NmkY8dAIXaoBiUSCEQ+NIGfGBbjNsm2CMMXOkp14fu3z2DFyh9svge7Xrh863dVJ959a3rA83X9qBEEQhGMhh4ZwazwppktamzSkofG/Mu1/agRBEITjIYeGcCs0TIPs37Jxo/4GABjEdElqwUWLbhHcApO7TNYFsiIIgiAIcmh8BMYY9l7Yi+4J3Z2aVl4oroy+SRAEQXgu9C+uj+Ap+YUopgtBEARhC+TQ+AjOzgRrD66KvkkQBEF4LjTl5KV4uhbFUvRNWg5JEARBGON+bzJCFDw9vxDFdCEIgrCN8vJyp2kl58yZg8jISAQFBWHYsGGoq6tzSr2mIIfGS/F0LQrlnyIIwmNQq4GCAmDdOu5TL4u1N5Obm4ucnBzs3LkTp0+fxokTJ7BgwQKX2UNTTl6MVosS+WGkwfSNVosSIA1woXWWoZguBEF4BJs3A2++CVRUNO6LiwM+/RQYNMh1djmBP/74A2vWrMFjjz0GABg2bBgOHTrkMntohMbLcUUmWIIgCJ9g82ZgyBBDZwYAKiu5/Zs3O6zqY8eOoWvXrggLC0NaWhpOnz5t9Zp9+/ahc+fOCAkJQZcuXVBYWKg7tmvXLnTo0AEhISFIS0vD+fPndcdycnKQmJiI0NBQ9OnTB9XV1QCAGTNmIC2t8R/P4uJi3HvvvSK2Uhjk0Hg5pEVxLp6Ue4ogCDtQq7mRGVO/69p906Y5ZPqptrYWvXv3Rr9+/VBcXIyUlBSMHDnS4jUajQZDhgzBiy++iNLSUqSmpiIzM1N3fNSoURg/fjzOnj2L5ORkZGVlAQAUCgXGjh2LBQsWoKioCP7+/li0aFGT8ouLi5GXl4dJkyaJ21gB0JSTl0P5hZyLJ+WeIgjCDvbtazoyow9jwMWL3Hk9eoha9fbt2xEZGYkZM2YAALKysnTTPpY4ceIEZDIZTp48ibq6Opw9e1Z3rFmzZlCpVJDJZFixYgU0Gg0AQCqVIiAgACqVCtHR0di6dWuTf9jUajXGjh2LV199FQ899JCILRUGjdB4OZQJ1rl4UrwfgiDs4PJlcc8TQEVFBRITE3XfIyIiMGzYMIvX+Pn5YfHixYiNjcXUqVMhl8uh1hs9WrduHQoKCtC6dWs88cQTOHr0KADO0dmwYQNWrlyJqKgo9O7dG6WlpQZlz5kzB3K5HB999JF4jbQBGqEhCDvw9Hg/BEHYSOvW4p4ngPj4eJSVlem+KxQKpKSkYM+ePbjrrrtMXlNQUIDs7GyUlJQgJiYGP/74I37//XcAgFKphFKpxO7du9HQ0IBZs2Zh3LhxOHXqFKqrqxEREYEDBw5AqVRi0qRJmD59OrZt4+QMW7Zswaeffor//e9/CAkJMVm3syCHhiDsgHJPEYSP0q0bt5qpstK0jkYi4Y536yZ61enp6Zg2bRrmz5+PUaNG4fPPP4darUZMTIzZaxQKBQBALpejpKQEGRkZuqkjjUaD9PR0rFq1Ck899RT8/Px0U05VVVXo1asX8vLy0KlTJ4NjRUVFGDFiBFasWIG4uDgoFAr4+fm5zLGhfxkJwg48Pd4PQRA2IpVyS7MBznnRR/v9k0+480SmefPm2LlzJ7Zt24YOHTrg0KFDyMvLsxhMTysifvjhhzFp0iRMmDABly5dwtWrVxEeHo6cnBzMmzcPbdu2xbZt25CdnQ0AaNeuHT7++GNMnjwZ99xzD4qLi7Fw4UIAwMqVK3Hz5k2MGjUK4eHhCA8PxwMPPCB6e/kiYT6wHKO2thYymQxyuRzNmzd3tTmEF9KgbmgS7yc0IBTX373u1vF+CMKXqa+vR1lZGZKSkhAcHGxbIabi0MTHc86Ml8ehEQtL90HI+5umnAhCBCj3FEH4KIMGAf37c6uZLl/mNDPdujlkZIawDE05EYQIULwfgvBhpFJuafbw4dwnOTMugUZoCEIEKN4PQRCEayGHhiBEgHJPEQRBuBaaciIIgiAIwuMhh4YgCIIgCI+HHBqCIAiCIDwecmgIgiAIgrCZ0tJSHDp0CPX19S61gxwaguABA/DbX5/eXCdBEJ5PeXm5xajBYvL3v/8dKSkpGDduHJKSklBUVOSUek1BDg1B8CAHwGMAcr28ToIgCL7897//xU8//YTS0lIUFRXh+eefx4cffugye8ihIQgr3AHw/l8/v//Xd2+skyAI21AqufRNEgn3s68QEhKClStXIiwsDADQqVMnXL9+3WX2kENDEFZYB6Dsr59LAaz30joJgvAcjh07hq5duyIsLAxpaWk4ffq01Wv27duHzp07IyQkBF26dEFhYaHu2K5du9ChQweEhIQgLS0N58+f1x3LyclBYmIiQkND0adPH1RXVwMAUlJS0L17dwDAtWvX8OWXX2KQC/NXkUNDEBbQjpRoZ6P94PgRE1fUSRCEcJTKxs3SPrGpra3VZc8uLi5GSkoKRo4cafEajUaDIUOG4MUXX0RpaSlSU1ORmZmpOz5q1CiMHz8eZ8+eRXJyMrKysgAACoUCY8eOxYIFC1BUVAR/f38sWrTIoOwvvvgCbdq0QevWrTFmzBjR28sXihRMEBbQHykBAA0aR0xe9qI6CYIQzl8zLQbExDT+zByk6N++fTsiIyMxY8YMAEBWVhYee+wxq9edOHECMpkMJ0+eRF1dHc6ePas71qxZM6hUKshkMqxYsQIajQYAIJVKERAQAJVKhejoaGzduhXMqGGjRo1CfHw8Jk2ahE8//RRvvvmmiK3lD43QEIQZjEdKtDhyxMQVdRIE4VlUVFQgMTFR9z0iIgLDhg2zeI2fnx8WL16M2NhYTJ06FXK5HGq1Wnd83bp1KCgoQOvWrfHEE0/g6NGjADhHZ8OGDVi5ciWioqLQu3dvlJaWGpQdFBSE3r1741//+hdWr14tXkMFQg4NQZhBO1Ji/E+W/oiJN9RJEIRtKBTcdvVq476rVxv3O4r4+HiUlTWO4yoUCiQnJ+PKlStmrykoKEB2djbOnDmDI0eOYPz48bpjSqUSSqUSu3fvRk1NDbp164Zx48YBAKqrqxEREYEDBw7g6tWriI6OxvTp0wEAH3/8MXJzG9dh+vv7Q+rCTOPk0BCECcyNlGixZcTEWlwZR9RJEITjCA1t3CztE5v09HRcv34d8+fPR0VFBebOnQu1Wo0Y/fkuIxR/eVhyuRwHDhxARkaGbupIo9EgPT0dOTk5qKqqgp+fn27KqaqqCr169cLOnTtRW1trcOy+++7D9OnTkZ+fj+LiYnz44Yd48cUXHddwazAfQC6XMwBMLpe72hTCQ8hnjIHHli+gzG/+uuZbJ9ZJEIR5bt26xYqKititW7fsKkehYIxTzHA/O4OjR4+ylJQUFhYWxrp3787OnDmjO1ZWVsaMX++3b99mI0aMYKGhoSw5OZktWrSI+fv7sytXrjDGGNuwYQNr3749Cw4OZsnJyWzv3r26a5ctW8YSExNZcHAwe/zxx1lhYaHu2MKFC9ldd93FWrVqxd577z2mVqsFt8XSfRDy/pYw5ijZkvtQW1sLmUwGuVyO5s2bu9ocwgNQAdj616c5ggD0++vTGncA3A9uOukeAMVoqsgXu06CICxTX1+PsrIyJCUlITg42NXm+CyW7oOQ9zetciIIEwQBEHPg1FRcGeMVS2LXSRAE4UuQhoYgHAgD8CsorgxBEISjIYeGIBxIDoBUGK5cohVLBEEQ4kMODUE4iDsAZpk5RqM0BEEQ4kIODUE4iHUAys0co1EagiAIcSGHhnArGGMoKC9oElrb0+qxNDqjhUZpCIIgxIMcGsKt2FmyEz2/7omfzv/k0fVYGp3Roh2l2e8QCwiCIHwLcmgIt2Jj0UaDT0+sRxvx1xgJgCgAawB8+9f2HYCuoltAEAThe1AcGsKlaJgG2b9l40b9DQDAxjONjkZSiyQAQIvgFpjcZTL8JLb7386qB2iaLVsLA/AnACkoazZBEI6jvLwcSUlJDp+61+fGjRto3749Dh06ZJA405mQQ0O4FGWDErMKZqHmVg0kkOicCUWDAjPzZ4KBIbJZJEZ1GoXwoHC3r0c/H5OpPyVa3cxLoF8+gvB06uvr0dDQYDKCbW1tLQIDA30mAnFmZiau6mfpdAE05US4lPCgcBybeAypcakAADVTG3ymxqfi+MTjdjkZzqxnP0xny9ZCuhmC8A7q6+uRm5uLNWvWQC6XGxyTy+VYs2YNcnNzUV9f7yILnccvv/yCrVu3omXLli61gxwawuW0kbVB/ph8hASEGOwPCQhBwegCxMviPaaeruB0Md9a2Eg3QxCeT0NDA5RKJa5fv46vv/5a59TI5XJ8/fXXuH79OpRKJRoaGhxS/7Fjx9C1a1eEhYUhLS0Np0+ftnrNvn370LlzZ4SEhKBLly4oLCzUHdu1axc6dOiAkJAQpKWl4fz587pjOTk5SExMRGhoKPr06YPq6mrdMZVKhYkTJ+Kzzz5DWFiYuI0UCDk0hFtwuPIwlLeVBvuUt5U4XHnYo+rR5mN62cL2Iii5JEF4Os2bN8fo0aMRERGhc2ouXryoc2YiIiIwevRohyRErq2tRe/evdGvXz8UFxcjJSUFI0eOtHiNRqPBkCFD8OKLL6K0tBSpqanIzMzUHR81ahTGjx+Ps2fPIjk5GVlZWQAAhUKBsWPHYsGCBSgqKoK/vz8WLVqku27+/Pm4//77MWzYMNHbKRRyaAi3YFvxNgDAgPYDUPJGCfq36w8A2Fq81SPqcVb8HIIg3AeZTGbg1Hz11VcGzoxMJnNIvdu3b0dkZCRmzJiB2NhYZGVlYcaMGVavO3HiBDIyMnDhwgXU1dXh7NmzumPNmjWDSqWCTCbDihUrkJOTAwCQSqUICAiASqVCdHQ0tm7dinnz5gEAzpw5gxUrViA7O9sh7RQKOTSEW9CvXT/kDsrF5qGb0TayLfKG5SF3UC76tevnEfU4K34OQRDuhUwmw8CBAw32DRw40GHODABUVFQYrCSKiIiwOkLi5+eHxYsXIzY2FlOnToVcLodardYdX7duHQoKCtC6dWs88cQTOHr0KADO0dmwYQNWrlyJqKgo9O7dG6WlpWCM4bXXXsPcuXNx9913O6SdQiGHhnAL0tqkYcRDIyCRcDmpJRIJRjw0Amlt0jyiHmfFzyEIwr2Qy+XIy8sz2JeXl9dEKCwm8fHxKCtrDA6hUCiQnJyMK1eumL2moKAA2dnZOHPmDI4cOYLx48frjimVSiiVSuzevRs1NTXo1q0bxo0bBwCorq5GREQEDhw4gKtXryI6OhrTp0/HH3/8gf379yMzMxMtWrRAixYt8Mcff6Bjx45Yu3atw9puCVo5ShA24My4NgRBuCf6AuCIiAgMHDgQeXl5Ok2No6ad0tPTMW3aNMyfPx+jRo3C559/DrVajZiYGLPXKBQKnc0lJSXIyMjQTZFrNBqkp6dj1apVeOqpp+Dn5weNRgMAqKqqQq9evZCXl4dOnTrpjsXGxho4VQDwxBNPYP369ejcubPobeaDhPnApH9tbS1kMhnkcrlDBFqE71GnqkPip4kGcW3UTA2pRAoN0+ji2pS/WW73UnCCIBxDfX09ysrKkJSUJDheTG1tLdasWdNEM2Ps5IwZM8Yh751jx45hypQpKCwsxCOPPIIVK1agffv2AEwH1rtz5w5Gjx6NLVu2ICkpCWPGjMF7772HiooKxMTEYOPGjZg5cybKy8tx7733YtmyZXjyyScBAMuXL8dHH32EK1euoFOnTvjyyy/x4IMPNrEpMTERBQUFggPrWboPQt7f5NAQhI38If8DwzcOx68Vv4LpRZ6RQIKu8V2xfvB60ZacEwQhPvY4NNo4NEqlsslIjNapCQ0NxciRI30muJ6tkEMjAHJoCEfRoG5A5IeRBkvBQwNCcf3d6wiQBrjQMoIgrGGPQ6O9niIF249YDg1N7hOEHTgrfg5BEO5HcHCw2Zds8+bNyZlxMuTQeBEUC8X5OCt+DmEb9DtBEL4DOTReBMVCcT7Oip9D2Ab9ThCE70AOjRdBsVCcj7Pi5xC2Qb8TBOE7UBwaD4ZioRCEIfQ7QRC+C61y8mAoFgpBGEK/E4QQ7F3lRIgDrXIiEB4UjmMTjyE1LhUAoGZqg8/U+FQcn3ic/nATPgP9ThCE70IOjYfTRtYG+WPyERIQYrA/JCAEBaMLKLAb4XPQ7wTh65SXl+t0fY7moYcegkQi0W2vvvqqU+o1BWlovABLsVBInEr4IvQ7QTiD2gsXcEepNHvcPzQUzRMSnGiRc7l58yZKS0tx7do1BARwgUSDgoJcZg85NF6AfiyURc8swlu73sKW4i3YWryV/ngTXgNjDHsv7EX3hO5W//uk3wnC0dReuIDtzz9v9by+P/7otU7N0aNH0bFjR0RFRbnaFABuOOX07bffok2bNggLC8PTTz+N8vJyAEBhYSG6dOmCiIgIZGZmUqAsPSgWCuELCIkpQ78ThKOxNDJjy3lCOXbsGLp27YqwsDCkpaXh9OnTVq/Zt28fOnfujJCQEHTp0gWFhYW6Y7t27UKHDh0QEhKCtLQ0nD9/XncsJycHiYmJCA0NRZ8+fVBdXQ0AOHz4MCoqKhAVFYUWLVpg8uTJUKlU4jeWJ27l0Jw/fx7/+Mc/8P3336OoqAgJCQkYM2YMVCoVXnjhBTzyyCM4cuQIioqKsGbNGleb6zZQLBTCFxASU4Z+Jwhvpra2Fr1790a/fv1QXFyMlJQUjBw50uI1Go0GQ4YMwYsvvojS0lKkpqYiMzNTd3zUqFEYP348zp49i+TkZGRlZQEAFAoFxo4diwULFqCoqAj+/v5YtGgRAKCkpAQ9evTAoUOHsGfPHuzevRuffPKJw9ptDbeacjp27BhSUlLw8MMPAwDGjh2LoUOHYseOHZDL5Vi8eDFCQkIwf/58TJ06FWPHjnWxxQRBOAqKKUMQptm+fTsiIyMxY8YMAEBWVhYee+wxq9edOHECMpkMJ0+eRF1dHc6ePas71qxZM6hUKshkMqxYsQIajQYAIJVKERAQAJVKhejoaGzdulU3Q7J8+XKD8mfOnInPP/8c7777rlhNFYRb/RV44IEH8N///hfHjh2DXC7HsmXL8Mwzz+DEiRNISUlBSAi3aqFjx44oKioyW45KpUJtba3BRjgOypfjGurr680+27W1taivrxflGlehbFBiVsEsZOVnYWb+TCgbuKF7RYMCM/NnIis/C7MKZun2E4SvUFFRgcTERN33iIgIDBs2zOI1fn5+WLx4MWJjYzF16lTI5XKo1Wrd8XXr1qGgoACtW7fGE088gaNHjwLgHJ0NGzZg5cqViIqKQu/evVFaWmqyjhYtWqCiosL+BtqI2zk0Q4YMwcMPP4wWLVrgf//7HxYtWoTa2lokJSXpzpNIJJBKpbh+/brJcj744APIZDLdFh9PyzQdCeXLcT719fXIzc3FmjVrIJfLDY7J5XKsWbMGubm5Bg6KLde4EoopQxCmiY+PR1lZme67QqFAcnIyrly5YvaagoICZGdn48yZMzhy5AjGjx+vO6ZUKqFUKrF7927U1NSgW7duGDduHACguroaEREROHDgAK5evYro6GhMnz4dAPD444/j0qVLunJ+++03A0fL2biVQ3Po0CFs27YN//vf/1BXV4fhw4fj+eefh7+/f5OlYMHBwbh586bJcmbMmAG5XK7bLl686AzzfRbKl+N8GhoaoFQqcf36dXz99dc6B0Uul+Prr7/G9evXoVQq0dDQYNc1roZiyhBEU9LT03H9+nXMnz8fFRUVmDt3LtRqNWJiYsxeo1AoAHC/7wcOHEBGRoZuVF2j0SA9PR05OTmoqqqCn5+fbsqpqqoKvXr1ws6dO1FbW2tw7MEHH8TkyZPx+++/Izc3F59++immTJni4Nabx60cmv/85z946aWX8NhjjyEsLAxz585FaWkpIiMj8eeffxqcW1dXh8DAQJPlBAUFoXnz5gYbIR4apsGyw8sw75d5mPfLPANtg3bfssPLoGEaF1vqvTRv3hyjR49GRESEzkG5ePGizjGJiIjA6NGjDZ59W65xByzFlCEIX6R58+bYuXMntm3bhg4dOuDQoUPIy8uzGM5AKyJ++OGHMWnSJEyYMAGXLl3C1atXER4ejpycHMybNw9t27bFtm3bkJ2dDQBo164dPv74Y0yePBn33HMPiouLsXDhQgDA4sWL4efnh+7du2Pu3LlYuHAhXnnlFaf0gSncKpfTG2+8gevXryMnJwcAN6cfHR2NefPmYcWKFTh37hwALgpihw4doFAoIJVKrZbrrbmcbEVIPA9TeGO+nPr6ejQ0NJh8PmpraxEYGNgkx4gt14hxrT76oytatI6JTCYTfE1QUJAodonJu7vfxcKDC5vElHkn9R18+MyHTrWF8C7syeVEcWjEQ6xcTm7l0Kxfvx7jxo3DvHnzEBMTg1WrVuH8+fMoKSlBbGwsFi1ahFGjRmHSpEmorKzEtm3beJVLDo0hO87twPNrn8eOkTvQ+97eNpXxh/wPDN84HL9W/AqGxkdIAgm6xnfF+sHrPWY6QKstUSqVTRwB7cs/NDQUI0eO1P2y2XKNPfVZ4uLFi/jqq69038eNG2dVN2bqmqioKFHtEosDfxzABfkFDE8eDolEAsYY1hWuQ4IsgZZhE3Zhb3JKX48ULBZemZxy2LBhePfdd/HJJ59gzJgxuHHjBjZv3oyAgACsXLkSkyZNQkxMDDZu3IgFCxa42lyPRQzNizdpG5ytRxFTyyKXy5GXl2ewLy8vr4nol8811dXVbqmxoZgyhLvSPCEBkQ88YHYjZ8a5uNUIjTUqKytx5MgRpKamCgq17OsjNMbxPBYeXIhaVS1kQTJkpnKBlWyJ57H/j/3otrpb0/1j93vcy0b/pR0REYGBAwciLy/PQFtiPIVjyzViXOtImwcNGoTNmzfbZRdBeAr2jtAQ4uCVU06OwtcdmjpVHRI+ScD1ek4zIZVIRdG8eJu2gY8exVhHYouGRUh95qitrcWaNWuaOBpyuRyrV6+GXC5HREQExowZo3vma2trsWrVKtTV1TW5Rt/J0XdqhNpFEJ4EOTTugVdOORGOITwoHEueW6L7LlY8D2/LlyOTyZCenm6wb+DAgbqXuKlYLTKZDAMHDjR7jbX6bL02MDAQoaGhJh0NbTgDf39/g5WAVVVVqKurAwAMGjRId41MJtOtfgoNDUWrVq1stosgCMJVkEPjI/xy4RcAgL/EMNuFPZoXb9M2yOXyJkLzTZs26eIZmdKR2KJh0a/P1muDg4MxcuRIjBkzxsDRUCgUuuif1dXVqKqqAsBFFs3NzQXA3Sfj1W0ymQxjxozByJEjoVKpbLaLIAjCVZBD46WYixVzh90xOI/ieXBoHRa5XA6ZTIbw8HDd/i+//BKrV69uEqvFeKpm3LhxBjFerAlzbb1WS3BwcJMh2NjYWIwdO1YX/Gr16tU4cuQIVq9eDY1GAz8/P4wbNw6xsbFNymvevDlUKpXddhEEQbgCcmi8FHN5cPQJ8AsAAGwt3ups89yK2tpag5f42LFjMX78eN3IR11dnc7R0U7vGF8zevRoxMfHNwlcZypvkj3X8iEuLs7Aqfnhhx90zszYsWMRFxcHoGleJ327ZDIZXnrpJVHtIgivR3PH+jmEwyCHxksxlwcH4GLFpManouSNEo/WvIiFKT2KTCbD4MGDDc7r27evzskxp2Ex1qOYimZtz7V8iYuLQ58+fQz29enTx8CZMc7rpLVLa8+2bdtQX18vql0E4bVc3QtsagVc+8XVlqC8vNymoKm2whhDamoqPv74Y6fVaQpa5eTlNKgbEPlhpEHo+NCAUFx/9zoCpAEutMy9MI7cy2cFkjtECjZHRUWFbppJi/4IjblVUteuXcPatWvNrpJyRaRggnAUoq1y0twGfkgG6s4C4e2A9FOAn+v+vpaXlyMpKQnOer2vWLECS5cuxfHjxxEQILzdtMqJ4AXlweGHvh6Fr77FlIZFS/PmzS3+gbTnWmvoOzN+fn5IT0830NRUVFSYzeu0fv16nTNjKhcUOTMEYYLipUAdl5oHdWeBs5+71h4ncvXqVcyYMQNLly61yZkRE3JovJxtxdyqnQHtB6DkjRL0b9cfAOlmAM5xqaysNNh37do1nQBYO9Wi1ZHIZDK30pEYa2AALvikvjMzduxYPProo02EwpWVlQZTSdevX8dXX31FAfQIQig3LwEnswBdChgGnMji9juQY8eOoWvXrggLC0NaWhpOnz5t9Zp9+/ahc+fOCAkJQZcuXVBYWKg7tmvXLnTo0AEhISFIS0vD+fPndcdycnKQmJiI0NBQ9OnTB9XV1bpj06dPR5s2bXDx4kUcOnRI3EYKhBwaL8fbYsWIhVwux/Lly/HVV1+hoqICAOcgbNmyRRerRRvPRR+pVIpmzZq5XEdiSgMDAGFhYbqErS1btkSrVq0AGAqF/f39ERYWBsC+WDgEQQA4+hagMUoHolEBx952WJW1tbW67NnFxcVISUnByJEjLV6j0WgwZMgQvPjiiygtLUVqaioyMzN1x0eNGoXx48fj7NmzSE5ORlZWFgAuFMTYsWOxYMECFBUVwd/fH4sWLQIAHDp0COvWrUNCQgLKy8vxyiuvYNq0aQ5rtzX8rZ9CeDJpbdKQhsa4MNpYMb6OQqHAnTt3dCMWY8eORfPmzVFXV6fTndy5cwcKhQIADJZ0DxgwwOVTL8b5oPRHVEJCQiCXy3Hnzh00NDTobI2Li8O4ceMQFhZmECzQVMwZGqEhCB5czQf+WN90P1MDF9YB974GxPQQvdrt27cjMjISM2bMAABkZWXhscces3rdiRMnIJPJcPLkSdTV1eHs2bO6Y82aNYNKpYJMJsOKFSt0fwelUikCAgKgUqkQHR2NrVu36rQ5K1euREpKCrZs2QKJRIJx48YhISEBU6ZMwf333y96u61BIzSET2IqXsvZs2d1DgzAjXZoNJomS7qF5BFzFOY0MFrHy5QGBuDare/MUMwZgrCDsm9g/jXqB5R97ZBqKyoqkJiYqPseERGBYcOGWbzGz88PixcvRmxsLKZOnQq5XK4LwgkA69atQ0FBAVq3bo0nnngCR48eBcA5Ohs2bMDKlSsRFRWF3r17o7S0VGdHnz59dCuq4uPjERUVhbKyMpFbzA9yaAifxVS8FsYYJBIJwsPDUVdXp9OVtGjRwiWjFqZ0MlokEgleeuklmzQwjo6FQxA+QdJoABozBzVA0hiHVBsfH2/gNCgUCiQnJ+PKlStmrykoKEB2djbOnDmDI0eOYPz48bpjSqUSSqUSu3fvRk1NDbp164Zx48YB4CKOR0RE4MCBA7h69Sqio6Mxffp0nR23bt0ysKOmpgYJLsoyTg4N4dPExcXh6aefNtj3/PPP48UXXzTYFxAQgKCgIGeaZlYnAzTmldq2bRuef/55g2N8NDDOiIVDEF5PTA+gzUuARGq4XyIFEoYDMd0dUm16ejquX7+O+fPno6KiAnPnzoVarUZMTIzZa7Sjz3K5HAcOHEBGRoZu6kij0SA9PR05OTmoqqrS/ZMHcDngevXqhZ07d6K2ttbg2IgRI/DFF1/g559/xoULFzBlyhTcd999LpluAsihIXyciooK7Nmzx2Dfjz/+iA0bNhjsq66uNlD2OwNjnYzWqdGfKqqrq8P27dsNruOTd8lcLijAMK+Tq7VCBOH2PPwx4Gfk+PsFAX9b5LAqmzdvjp07d2Lbtm3o0KEDDh06hLy8PIvB9LQi4ocffhiTJk3ChAkTcOnSJVy9ehXh4eHIycnBvHnz0LZtW2zbtg3Z2dkAgHbt2uHjjz/G5MmTcc8996C4uBgLFy4EAPTq1Qsff/wxpk6divbt2+Ps2bPYtGkT/Pxc41pQYD3CZzGO1xIcHGywskkikYAxpvuPxBXLmY11LgMHDkReXp5uWbn2HONjtPSaIKwjWmC9M4v/WtXEAEg4J6f9dLHM9HoosB5B2IGpeC3Dhw83+A+HMYbw8HCMHTvWoboSW3Qyxs4MHw2MpXpqa2tRX18varsIwmdo9wYQ/tc0S/j9wP2vu9YeH4UcGsInCQsLg7+/v0E6gFatWunitmjR5j9ylK6Er04mPT3d4NgLL7yA8PBw3hoYPvXk5ub6jlPTcB7Q3LJ+njvjDW3wFvwCgMf+DQTIgMdXujTtgS9DcWgIn0Qmk2HKlClQKBSIjY0FAKhUKty+fdvgvN27d+Puu+/W6UrEzmVkLp6M/lSTRqPBtm3bDK774Ycf8NJLL5lMoWDKVj71aM/zet0MawAqXgDYbSB2MxD8kKstEo43tMHbiOkODK4C/Oi16ipohIbwWWQymc6Z0b7Yb9y4YTYmiyNyGVmKJ2NqaknfrvXr15tNPmdsq7V6zMWt8UqqPwIazgCaWiAg1tXW2IY3tMEbIWfGpZAomHBrGGPYe2Evuid0t6jgtwdzmaeNBbn6mafFxlR2b1M6GXvt4pNFnA+OyBbusAzk8m8B1Unu54bzgOKvyMitcwGZh0TN9oY2uCGiiYIJuyBRMOET7CzZiZ5f98RP539yWB3uEJPFVE6lvn37CtLJ2FqP0NxNjtDjOFTjo9gK1CziNq0jAADNhwsvy1V4QxsIwsHQ+Bjh1mws2qj77H1vb4fUoY3JYmp0wFHaGWNM5VT68ccfBelkbK1HaO4mR+hxHKrxCesHBCT+VZHe6EbtOs8Z3fCGNhCEg6EpJ8Kt0DANsn/Lxo36GwCAhQcXolZVC1mQDJmpXGbYFsEtMLnLZPhJvGOA0VKsGTHjyYhZjyNsdlY/oGoeUJUFSKOBe84A0kj7y3Q23tAGN4CmnNwDsaacyKEhnI4lXUydqg6Jnyai5lYNJJDAT+IHNVNDKpFCwzRgYIhsFonyN8sRHhTuohaIh7P0O46oRyw9jqPLbAJrAMo6e/YKIW9ogxvgrQ5NeXk5kpKSzC4aEIsxY8bg66+bJuAsKyszSJ5pDdLQEB6LJV1MeFA4jk08htS4VACAmqkNPlPjU3F84nGvcGYA5+l3HFGPGHocZ5TZBEkgELcNSDolzBFwRtwXvnVIAoGYz4GEw+TMEC5j+fLluH79um7bsWMH7r//fsTHx7vEHhqhIZzO+C3j8dXxrzD+b+Oxqt8qk+c0qBsQ+WEklLeVun2hAaG4/u51BEi9K2iVw1b3OLgejx2hsQVnjIgIqYNGaESBRmjE5dlnn9VFXRcCjdAQHoOGabDs8DLM+2Ue5v0yDxvPNAp9tfuWHV4GDdPorjlcedjAmQEA5W0lDlcedqrtzsCU6FeLmLFvxKzHeKrKVNweoTiiTNFwRtwXIXVQHBq34dSpU6ipqTHYV1NTg1OnTjm03mPHjqFr164ICwtDWloaTp8+bfWaffv2oXPnzggJCUGXLl1QWFioO7Zr1y506NABISEhSEtLw/nz53XHcnJykJiYiNDQUPTp08dkot7ffvsN5eXlGDZsmDgNtAFyaHwQxhgKyguc5r0rG5SYVTALWflZmJk/E8oGzlFRNCgwM38msvKzMKtglm4/AGwr5iLjDmg/ACVvlKB/u/4AgK3FW51is68hJM9TbW1tk4B81vJIWcMRZdqF/FvgWia3VQziBLgAEL1EPAGukDqcYQ8hmFu3bmHQoEHo0KED1q5dC8YYcnNz0b59ewwaNMhhqURqa2t12bOLi4uRkpKCkSNHWrxGo9FgyJAhePHFF1FaWorU1FRkZmbqjo8aNQrjx4/H2bNnkZycjKws7hlTKBQYO3YsFixYgKKiIvj7+2PRoqaZxJcuXYrJkye7LNM2QMu2fZKdJTvx/NrnsWPkDocthdZHq4sZvnE4fq341UAXI4EEqfGpWD94vYEupl+7fuh0VycMT+YSRuYNy8O6wnVIkCU43F5fQxsDRqlUNpna0Y6ahIaGYuTIkQgODtbpcQCY1ONozxeix3FEmXah2ArUbWy6X6y4Lw3ngbo8w5gyWoIf43Q0fs2cZw9hE5cuXUJgYCCuXbuGkSNHGjgVUVFRqKysRNu2bUWvd/v27YiMjMSMGTMAAFlZWXjsscesXnfixAnIZDKcPHkSdXV1OHv2rO5Ys2bNoFKpIJPJsGLFCmg03Ii5VCpFQEAAVCoVoqOjsXXr1ib/DNfU1GDLli349NNPRWylcGiExgfRj+3iLNrI2iB/TD5CAkIM9ocEhKBgdAHiZYYisrQ2aRjx0AjdKiiJRIIRD41AWps0p9nsKxjHgNFO7ehPASmVSjQ0NABojNszZsyYJroWbXwcrfPDF0eUaRehzwN+kYBfCyCkV+P+2nX2l63Nw3TrANB8NBD5NhCmJ4S+2B0o6wjU601ZhPXjzjM+Vwx7CJtp27Ytjh07hrlz5xrsnzdvHo4dO+YQZwYAKioqDFYRRUREWJ3q8fPzw+LFixEbG4upU6dCLpdDrVbrjq9btw4FBQVo3bo1nnjiCRw9ehQA5+hs2LABK1euRFRUFHr37o3S0lKDsjdv3ownn3wSERER4jXSBsih8QFs0bA4Al/SxXgStuR5coTux1laIl7cuQRoarjVRLHfAa3+emFdmw6oayxfaw2t/gUAYhYD0R8BcZsb67hzCdDIDbUxsle484zPFcMewi4CAwPxj3/8Q7c6b+DAgfi///s/h44mxsfHo6ysTPddoVAgOTkZV65cMXtNQUEBsrOzcebMGRw5cgTjx4/XHVMqlVAqldi9ezdqamrQrVs3jBs3DgBQXV2NiIgIHDhwAFevXkV0dDSmT59uUPZ3333XZHWiK6ApJx9Aq2HRj+0CNGpYtLFdRnUa5dDl0Pq6mEXPLMJbu97CluIt2Fq8lUZeXIz+1M7169fx1VdfAXCTFUbOwFyuJK1GpWUmUJvLrSq6XSlMt2Ku7KgPAcUPesfONV4TkWG5DnvsIRyCdjTGUaMy+qSnp2PatGmYP38+Ro0ahc8//xxqtRoxMTFmr1EoFAC4kdeSkhJkZGTopo40Gg3S09OxatUqPPXUU/Dz89NNOVVVVaFXr17Iy8tDp06dDI4BnI7ol19+wb///W8Htpgf5ND4ALZoWBwB6WLcG20MGK0zAzggBoy7Yk2joo1d4x8L+AkcKTJXdvU8ICAJuLm76bGW71ou0x57CI+nefPm2LlzJ6ZMmYIPPvgAjzzyCPLy8iwm8NWKiB9++GEkJSVhwoQJeO+993D16lXExMQgJycHM2fOxIQJE3DvvfciOzsbANCuXTt8/PHHmDx5Mq5cuYJOnTrhyy+/1JV78OBBtGjRAklJSQ5vtzUoDo0P4UuxXQjhuG0MGGfgyGzW5sr2aw5ELQBulzqmXsIqYsah+fbbb7F161b069cPr7zyikgW+gYUh4YQjDdqWJy9BN1bcesYMM7AFRoVBqD5MNLGeAmvvPIKNmzYQM6MCyGHxofQali6xnUFAKTEpQDw7NgultIoEPxwuxgw7kDLTCCwAzeKcrvSvrIUW4GaRdymv0xbGtW0bDHrJQgfgzQ0PoRWw7KndA9+rfgVD0Q9gDcee8OjNSz6S9CdEVPHG3G7GDDugJgalbB+QEAi97P+tFKrrKYpC0gbQxA2Qw6ND6BhGmT/lo0b9TcAAJvObOI+izbhnhb3oOx6GY5fOY7JXSbrVkC5K8Zt0V+CntSCE6W1CG7hEW1xF7QxYEzledLGgBErn5RHESjSahWZ0RRE1Twu0u+f7wLh/ZquUBKrXoLwMUgU7APUqeqQ+GmiwbJtNVNDKpFCwzS6Zdvlb5a7fRZrb2oL4aNQYkm3wVuTU3oaJAomeKNdtp0alwoABsu2ASA1PhXHJx73CAfAm9pCmEapBCQSw02p5He+pfPcBu20UtIpcmYIQkTIofERhKYecGe8qS2EjxLYljQyBCEy5ND4EN60bNub2kJwKJXcdu1a02PXrjUeNz7f2j6CIHwDcmh8CP3UAyVvlKB/u/4APHPZtje1heAIC+O2e+5peuyeexqPG5+vH+09Jqbpee4KxVAiHEV5ebnFqMFiwRhDRkYGIiMjERkZiVdffRX19fUOr9cc5ND4EP3a9UPuoFxsHroZbSPbIm9YHnIH5aJfu36uNk0w3tIWV+s/rl1rrF87CiJUt6JfBo2M8IdiKBGezrfffovjx4/j2LFj2Lt3L06cOIEFCxa4zB5atu1DpLVJQxoak0BKJBKMeMgzw6t7U1sIjr9y5+HataajNKWlQHS06fOVysZRmqtXgb9C6rg9FEPJy7haDVTdAFq1AGJautoap3D48GEMGTIECQlcLLP+/fujqKjIZfbQCA1BuABX6z+uXeO2P/9s3HfhAlBeLtxG/TLsaUNoKLcZOy4At0973Ph8a/vcBQ3TYNnhZZj3yzzM+2WeQQwl7b5lh5dBwzRWSiLcEsVNoOo69+kEjh07hq5duyIsLAxpaWk4ffq01Wv27duHzp07IyQkBF26dEFhYaHu2K5du9ChQweEhIQgLS0N58+f1x3LyclBYmIiQkND0adPH1RXVwMAkpOT8c033+DKlSsoLy/HunXr8Mwzz4jfWJ6QQ0MQLsDV+o+YGG5LTm7c99hjht9N2WPKbmvXEBzKBiVmFcxCVn4WZubPhLKB8/oUDQrMzJ+JrPwszCqYpduvRaPR4JNDn0CjIUeH4KitrdVlzy4uLkZKSgpGjhxp8RqNRoMhQ4bgxRdfRGlpKVJTU5GZmak7PmrUKIwfPx5nz55FcnIysrKyAAAKhQJjx47FggULUFRUBH9/fyxatAgAMH78eNy8eROtW7dGUlIS2rZti9GjRzuu4VagKSeCINyK0FCAr05WqWx0nhQK9xyZ0aKNoTR843D8WvGrQQwlCSRIjU/F+sHrm8RQmrtvLt4veB+KBgWynsxyhekEH+pVhp8OZPv27YiMjMSMGTMAAFlZWXjsscesXnfixAnIZDKcPHkSdXV1OHv2rO5Ys2bNoFKpIJPJsGLFCp0DLZVKERAQAJVKhejoaGzdulUnZF+yZAlatGiBixcvQiKRYMKECcjMzMTHH3/sgFZbh0ZoCMIFKBTcdvVq476rVxv3O5qrV7lNb8QZhw8bfjdljym7rV1DNGJLDKWckzkAgG9PfusUGwmBaDTAhUucfgbgPi9c4vY7iIqKCiQmJuq+R0REYNiwYRav8fPzw+LFixEbG4upU6dCLpdDrVbrjq9btw4FBQVo3bo1nnjiCRw9ehQA5+hs2LABK1euRFRUFHr37o3S0lLdNZmZmYiLi0NsbCwWLFiAL7/8UvwG84QcGoJwAa7Wf0RHc1tUVOO+hARA728kbxv1y3BWG1ytQbIHazGU7mjuYOiGoXjmm2fwzDfP4FzNOQDA2eqzun1DNwzFHc0dp9tOGHGrHvi9CCi/ZLi//BK3/5ZjljDHx8ejrKxM912hUCA5ORlXrlwxe01BQQGys7Nx5swZHDlyBOPHj9cdUyqVUCqV2L17N2pqatCtWzeMGzcOAFBdXY2IiAgcOHAAV69eRXR0NKZPnw4AuHPnDq7q/Xdz+fJlAyfJ2ZBDQxCEx+FqDZI9WIuhdE1xDRuLNmJP2R7sKdtjcK1238aijbimMBGBkHAugYHc/GiAP9AhCXjyEaB9EvedMSDIMRnq09PTcf36dcyfPx8VFRWYO3cu1Go1YvR/IYxQ/DVsKpfLceDAAWRkZOimjjQaDdLT05GTk4Oqqir4+fnpppyqqqrQq1cv7Ny5E7W1tQbH0tLSsGDBAqxZswYrV67ElClT8MILLzikzbxgPoBcLmcAmFwud7UphBegUDDG/bXifva2+qzZ4Eo7tOjbYmoTQmlp43WlpY6xV5/9F/az3JO5TKPRMMYY02g0LPdkLtt/Yb/unIN/HGTh88MZZqPJFj4/nB26eMjxhvoAt27dYkVFRezWrVu2F1KnZKzhtuG+htvcfgdy9OhRlpKSwsLCwlj37t3ZmTNndMfKysqY8ev99u3bbMSIESw0NJQlJyezRYsWMX9/f3blyhXGGGMbNmxg7du3Z8HBwSw5OZnt3btXd+2yZctYYmIiCw4OZo8//jgrLCxkjDFWXV3NXn75ZRYVFcWCg4NZv3792LVr1wS3xdJ9EPL+pmzbBCEQZwtR3UH4qm+DK+3Qt0f7qf9PqTYOjRDbysoa496UlgJJSeLZaQ+KBgXCP2iaZFU5Q4mQwBATVxBCoWzb7gFl2yYIJ+Ns3YY76ES0uZWM8ytp97lKr2LNYeFjV1kZt1282Ljv4sXG/a7mmxPfmNz/9YmvnWwJQXgGtGybIHhiSpuhPzog9lins+vjawNgGMnXVWO89vaPqZxR3bvzv97RfH2cc1xah7VGzqAcjNw8ElcUV7Dm+BpM7jLZtcZ5KIwx7L2wF90Tujsl1xHhXGiEhiA8FE/KneTqnFWeyJjOYzClyxRUTK/AU0lPoXJ6JaZ0mYIxnce42jSPhfJneTc0QkMQPHF27iBz9QGGIxGORKFonOLSH9EoLXV9igFTuZ9M5Xwyx1+hNHDxYuPIzN69QHzTUDAuwXgUxs/PD8ueX+Yia7wDyp/l3ZBDQxA8MfXyduRLnU+5+qMdjrBD2z7jURVtbiVr6It3jfdpy3cVpsS/8fHuIwom7EfDNMj+LRs36m8AgEH+rKQWSQiVhCI1PBU+sDbGJyCHhiDgOXPrxiMzztbUCMWROiBTZbuDtodwH7T5s2pu1UACCfwknMpCmz+rTWgbPPDEA5QQ1EsgDQ1BQNjcujbXEGPOGWEQktvI0TY4s932cu1ao27HeJWWPklJje2i0RnvQps/KzUuFQAM8mcBwN9a/w2tw1tD6id1mY2EeJBDQxAwnFt3V1yd/8kWHGmzJ/YH4Xws5c/6ZsA38PejiQpvge4k4ZNYm1sHgBbBLTC5y2TdMLWrcbaGRwwcabO5srUanT//bNyv/zNf0TDhPZjLn3Xq6ilEIMJFVjmO8vJyJCUlOVwbdPv2bfzf//0fvvvuOzQ0NGDChAmYNWsW/P1d41qQQ0P4JNbm1hkYIptFYlSnUQgPahqtlXBfTK0AS05u/NnV03eE89HPn7XomUV4a9db2FK8Bf8t+y8G3z3YxdZ5LnPmzMHOnTuxc+dO3Lp1Cy+++CIYY/jXv/7lEnvc419PgnAy1ubWU+NTcXzicbd0Zpyt4REDR9rsqLIpdo730K9dP+QOysXmoZvRNrIt8oblIXdQLp5Kekr8yhrOA5pb4pfrhnzzzTeYO3cuOnTogIcffhhvvfUWtmzZ4jJ7yKHxcjZt2oTz588b7Dt//jw2bdrkIovcB0tz6wWjCxAvc5OAJIQgrl7ltsLCxn2FhY37Cd8jrU0aRjw0QreCUSKRYMRDI/Dw3Q+LWxFrACpeAMo6AvWnxC3biGPHjqFr164ICwtDWloaTp8+bfWaffv2oXPnzggJCUGXLl1QqPdLsmvXLnTo0AEhISFIS0szeG/k5OQgMTERoaGh6NOnD6qrqwFwmbjbtGmjO08qlUIqdZ3AmhwaL6ampgbDhw/Hfffdh6lTp0Kj0WDKlCm47777MHz4cNy4ccPVJrocc3PrhysPu8giwl6io7ktKqpxX1RU435ruEMOLcJDqf4IaDgDaGqBgFiHVVNbW4vevXujX79+KC4uRkpKCkaOHGnxGo1GgyFDhuDFF19EaWkpUlNTkZmZqTs+atQojB8/HmfPnkVycjKysrIAAAqFAmPHjsWCBQtQVFQEf39/LFq0CADQuXNnfP/99wAAtVqNb7/9Fs8++6xjGs0D0tB4McePH4efnx8YY1i+fDmWL1+uO+bn54ejR4/iqaccMOTqQZibW99avBVpbdIEl6cfzwaAR8S2cRpqNbBvH3D5MtC6NdCtG2D83xyfcxyMO+TQIjwE+beA6iT3c8N5QJHH/Ry9BJBGOqza7du3IzIyEjNmzAAAZGVl4bHHHrN63YkTJyCTyXDy5EnU1dXh7NmzumPNmjWDSqWCTCbDihUroNFwsXmkUikCAgKgUqkQHR2NrVu36sTGn3/+Ofr164dDhw7h/PnzuHDhAr799lsHtJgnzE159913Wd++fXXfT506xR599FHWokUL9vbbbzONRsO7LLlczgAwuVzuCFPdmrq6Ovb0008zALrtmWeeYXV1da42zS3Yf2E/yz2Zq3ueNBoNyz2Zy/Zf2G9TeT+e/ZFhNtiOczsMfvZ5Nm1iLC5OP5QN933TJmHnOAHDiDtNN8J7uHXrFisqKmK3bt2yrYCKIYydQdNNwPvJFj788EPWu3dvs8fLysqYqdd7ZmYmi4iIYI888ggbNGgQS0hI0B379ddf2dNPP81CQ0NZamoqO3z4sO7Y9u3bWWpqKgsNDWXPPvssO3funO7Y7du3WWFhIfvb3/7GJkyYYFN7LN0HIe9vt5xyKiwsxPLly/HJJ58AAFQqFV544QU88sgjOHLkCIqKirBmzRqX2ugphIWFYffu3WjdujUAoHXr1ti1axfCzKVR9jHMza3bMjoDGMaz8YTYNk5h82ZgyBCgosJwf2Ult3/zZn7nOAmKb0PwJqwfEPk2t4UNbNxfu86h1cbHx6OsrEz3XaFQIDk5GVeuXDF7TUFBAbKzs3HmzBkcOXIE48eP1x1TKpVQKpXYvXs3ampq0K1bN4wbNw4AUF1djYiICBw4cABXr15FdHQ0pk+frrvW398ft27dQnFxMWbPni1+YwXgdlNOjDFMnDgR06ZNQ9u2bQEAO3bsgFwux+LFixESEoL58+dj6tSpGDt2rIut9RxiY2Nx+fJlxMY6bl7XF9GPZ6NhGqwtXAsAyDmZozsn91QuElskQgKJ28W2cThqNfDmm6bnaRjjlhC9+Wbjd3PnTJsG9O/vlOknT4z3Q7gI2SuG36vmAVVZwLXpQFhvh007paenY9q0aZg/fz5GjRqFzz//HGq1GjEWstYq/vLG5XI5SkpKkJGRoZs60mg0SE9Px6pVq/DUU0/Bz89PN+VUVVWFXr16IS8vD506dTI4pmXmzJl46623cPfddzukvXxxO4fmiy++wPHjx/Hqq69i+/bteO6553DixAmkpKQgJIRbjdKxY0cUFRWZLUOlUkGlUum+19bWOsxe5iE5gAjHoB/PRh+VuvH5q79Tj1n5s1wT20aoJkVsDcu+fU1HXfRhzPJx7TkXL3Jl9ehhuy2uxA20QYQTaJkJ1OYC7DZwu9JhDk3z5s2xc+dOTJkyBR988AEeeeQR5OXlWXwHaUXEDz/8MJKSkjBhwgS89957uHr1KmJiYpCTk4OZM2diwoQJuPfee5GdnQ0AaNeuHT7++GNMnjwZV65cQadOnfDll1/qyt27dy+OHz+ODRs2OKStgrBpwstB1NXVsaioKNapUyf2z3/+k/Xs2ZOlpKSwjIwMNmXKFINzW7VqxWpqakyW8/777xtoRrSbIzQ0nqKTmDhxIouNjWUTJ050tSlex4UbF1jqqlQmmS1hmA2Tm2S2hKV+mcr+uPGH8wwTqklxhIZl7VrrohS+29q1ttvhStxEG0Q0xW4NjSlUJYypRSzPB/BKDc3mzZuhVCrx3//+FzNnzsSuXbtw48YNfPXVVwgKCjI4Nzg4GDdv3jRZzowZMyCXy3XbxYsXHWazO+gkTp06hZoawxGCmpoanDrVGAdhxYoVqKiowIoVK3hfQ/DDXDwbfZwe20aoJsVRGpZz52y7zhR/6cA8CjfSBhFOIrAt4Bfsait8ErdyaCoqKvD4448jMpIbpvP390fHjh1RX1+PP/WTsQCoq6tDYGCgyXKCgoLQvHlzg00sNEyDZYeXYd4v8zDvl3kGOYC0+5YdXua0dPS3bt3CoEGD0KFDB6xduxaMMeTm5qJ9+/YYNGgQ6uvrRbmGsIypeDb6ODW2jTXdCsBpUtRq284XYscXXwi7xhQSCRAfz03TeBKO6leCIEziVhqa+Ph43LplGDL6woUL+Pjjj7FkyRLdvvLycqhUKp3j40zcLQfQpUuXEBgYiGvXrmHkyJEGwZWioqJQWVmpE1fbcw1hGf14NtEh0Vh5dCUAYMLDE3BNec2u2DaC4aNbuXgRmD0b6NWLe6HyOV+ohsWaHXyQSLj6Bw/mynNX7YkpjQzf++DJ2iCCcCfEnw2znerqaiaTyVh2dja7ePEi+/TTT1lQUBA7d+4ci4qKYl9//TVjjNOD6MeosYbYcWjMaSZcopNgjKlUKjZ37lwDvdC8efOYSqUS9RrCPPrxbPZf2M9yTuSwnBM5bP+F/XbHthGMUN1KZKRjNCxi6GekUvfXnpjTyPTt693aIC/AIRoaQjBiaWgkjPGLe3ny5EleDlLHjh1tcqy0HDp0CG+99RaOHTuGu+66C4sXL8aAAQPw/fffY8SIEQgPD4darcbevXvx4IMP8iqztrYWMpkMcrlctOmnBnUDIj+MNJhmCA0IxfV3ryNAGiBKHUIZNGgQ8vLyMHDgQGzmOTdvyzWEm1NQAPTsKX65+fnCRhIcYYd2FcfGjcCgQeKWbQtajYw94YOF9ishGvX19SgrK0NSUhKCg0n34ios3Qch72/eU06dO3eGRCLRrVvX/1mLRCKB2s754JSUFBw4cKDJ/gEDBuDcuXM4cuQIUlNTEaWfqMUFWMoB5JRpBRNop4mETBfZcg3h5nTrBsTFccJTMeL0SyRceUI1LI8/bnt9fn6mtSUuiEtjFksaGb5IpUBqqng2EYQPw1sUrNFooFarodFooNFo0Lx5c5SXl+u+a487ktjYWPTv39/lzgxgqJkoeaME/dv1BwBsLd7qSrMIgntJfvop97O9sZG013/yiaHz0NDA7XvjDe6zoaHptf/+t231MWZZKKvVnhQUCC9fTMTQCKnVwMGD4thjquyCAmDdOu6TxMeEl+NWq5w8iX7t+iF3UC42D92MtpFtkTcsD7mDctGvXT+X2dSxY0cMGTJE0LSfLdcQHsCgQdy0jNDI0MZC+7i4ptM777wDhIQA06cDn3/OfYaEcPv1OX9euN1xcdzoCx+GDnXtsufLl92rHH02bwYSE7kpvxEjuM/ERFomTng3top4IiIi2B9/OFf8aiu+lJzy5MmTrLq62mBfdXU1O3nypIssIlzKnTuM5eczlpXFT6C6Zw93/tq13OedO4blZWZavj4zs/HcJUv41Tl1qmF9+fn8RcMSietEwkLstLTl54tr16ZNXL+Y6itX9pcb4q2iYHPJKR3FwYMH2f33399k/4YNG1ibNm1Y69at2VoL4neni4L/9re/GYRVPnnyJNq3b98kFszRo0dFdLfEwRGiYHfk1q1b6NixI2pra7FkyRIMHz4ca9euxfTp0yGTyXDq1CkSvvkqajX3H7o5XY1WJ1NWZl6X0tDAjcRYmrqQSoGbN4HAQOHn87VVqN2OQoidpnCE7VqbzE2FubK/3BCxRMG3b91G3aU6RLZ1figRU5SXlyMpKamJztURHD16FM8//zyCg4NRXl6u219YWIhHHnkEy5Ytw+OPP45BgwZh+/btaNeuXZMynC4KnjZtGmpra3H79m2o1Wq8qU0o9xd37tyBUmk+sBjheCi+DKHDVFyUTz/lVuRodSpazOlkjFm+3LoOQ63mzps2jXNSMjKAjz4yf35GRqMzo2/zhAnA++9bb6dWT7N0KRAT49w8SVqtkqk+5Yu1PteHTz4oin3jdK6euorvBn0HaaAUE49NhDTQdxxFpVKJgQMHYsqUKfjqq68Mjq1atQo9e/bEq6++CgB4/fXX8e2332Lu3LmOM4jvkNKuXbtYWFgYCwwMZEFBQbqYMBcuXGBZWVns7rvvZjExMXyLcyq+NOVE8WUIi7mDTB2Lj+c3DfH66/ymUF5/3fC6zMym8WSkUsPpKVN2tWzJWFiY8CkcZ8eqMWV7WJjpaR+hfW6pDlPt5Bv7h2LfMMbEmXK6WX2TLYxayGZjNvtl3i8iWmeZo0ePspSUFBYaGspSU1NZYWGh7pi5KadffvmFderUiTVr1ow9+uij7NSpU7pjP/30E2vfvj1r1qwZS01NZSUlJbpj3377LUtISGAhISGsd+/erKqqijHGvW8qKipYfn4+S0hIMKirR48e7MMPP9R9P3jwIOvTp4/Jtog15cTboXn00UfZ7NmzGWOMbdy4kbVq1Yo9//zzTCqVsieffJKtXbuWNTQ08C3OqfiSQ6Nl4MCBDAAbOHCgq00hnAkf/YRWp2JOJ2MOvpqYJUuaXqtScftff5371HewLdlsiybFFVoR/T4dNsyyfcOG8e9zxoRpYvjqesTW7XgoYmloTuScYLMxm83GbLZ+4Hr209s/sZ/e/okd/+a4SJYaIpfLWXR0NJs/fz6rqKhgGRkZrFOnTrrjphwatVrNoqOj2dy5c9nly5fZ3//+d9a7d2/d8ZiYGPbRRx+xixcvstdee4299NJLjDEuabS/vz9bt24dKy8vZ3379mXvvfeeQdmmHJqHH36Yfffdd7rvhYWFrGPHjibbI5ZDw3vKqbCwEFu2bAEADB48GKNGjcLdd9+NEydO8A5wRzgPii/jg1jLHaQfv8WW6YYpU4C337auiZkypen+wEDTq5f42Cx0Kse4rc6afurRg9MNvfKK5XM3bgS++YafXULuqVRqPQaRrTGFCIs8NOIh5L2cBwD4f3n/T7f/gSEPoNMrnUSvb/v27YiMjMSMGTMAAFlZWXjsscesXnfixAnIZDKcPHkSdXV1OHv2rO5Ys2bNoFKpIJPJsGLFCmg0XD5CqVSKgIAAqFQqREdHY+vWrby0Of7+/gZJpS0llBYL3su2GxoaEB7emJsoKCgIM2fOJGeGINwFIfoJW9BqYiyRkcG9WPnGP+Fjsy3Y21YtQmO58NUZLV3Kr36h99RSDCK+WilCMKfWntL93H5ge3R9uyu6vt0V9/e73yH1VVRUIDExUfc9IiICw4YNs3iNn58fFi9ejNjYWEydOhVyudwgdty6detQUFCA1q1b44knntAt8GnWrBk2bNiAlStXIioqCr1790ZpaalVGyMjIw2SSltKKC0WvEdoGGN44oknIP3rF6G2thbPP/+8R6xy8kUovowPwjeeiT1xTxYu5D4XLzZ8cUulnDOTktJ0lU1cHPeSNZWqwBExWMQqf/NmbnSEb1sA/rF33n8fSEqynr7BlnuqjUFkyvZPPnGPlBFexK2aW/hp+k8AgKfmPYVu/+f40a/4+HiUlZXpvisUCqSkpGDPnj246667TF5TUFCA7OxslJSUICYmBj/++CN+//13AJy4V6lUYvfu3WhoaMCsWbMwbtw4nDp1CtXV1YiIiMCBAwegVCoxadIkTJ8+Hdu2bbNoY5cuXXDo0CGMHz8eAHD8+HHECo2LJRDeDs3q1asdaQchMq+88gpesTb0TXgXrVuLe545Fi4E5s7lRiPOnwfatuWmmbZvN53XqLKS228q/5K9tljD1vLN5Wiy1BaA6ws+KJWWy9Fi6z0dNIibhrK2Koqwm9rKWgTLghEaFYrUt52TxiI9PR3Tpk3D/PnzMWrUKHz++edQq9WIiYkxe41CoQAAyOVylJSUICMjQzd1pNFokJ6ejlWrVuGpp56Cn5+fbsqpqqoKvXr1Ql5eHjp16mRwzBKDBw/GE088genTpyMhIQFLly7FiBEjRGi9BayqbLwAXxQFEz7InTvcyhdzYlqJhFtdI0SQKrRuS0JdU3Xzsdl4hRRfYbCtbbW1LYwxdvOmuDa68p76AGKJghtuNrDqkmrrJ4qIdpVTWFgY6969Oztz5ozumClR8O3bt9mIESNYaGgoS05OZosWLWL+/v7sypUrjDEuCF779u1ZcHAwS05OZnv37tVdu2zZMpaYmMiCg4PZ448/brCiijHTomDGGHvvvfdYYGAga9GiBfvb3/7Gbt68abItTl/l5MmQQ8MftVrNlvy6hKnValeb4nvYuvpIH+2KGOMXoKNX/ti6uubOHcbmzLG8Wikz07YVT9Om2daP9qwUsiV6sLXozJbuqXE7xXiGfAhvjRTsTpw4cYL9+OOPrL6+3uw55NAIgBwa/swpmMMwG+xfe//lalN8C75xRmwtS2jcE6HYEv/ElJ3mbDYXy6Z//6ZlGJ8ntB/tieXC91r9LTLSur2m+sq4nS1bcpsYz5CPQA6NeyCWQ0PJKQkDck7mAAC+Pfmtiy3xIbR6DePVLFq9htCEgoMGAeXlQH4+sHYt91lW5lgxqFCth7k2a5kzp9HmzZuBRYuarh7SaICtW4ElS7g2apeFG58ntB/t0SLZotmpqTH8bspe/Xtqrp3V1dxmrSyC8FJ453LyZHwll5Mt3NHcwYhNI3D91nUAwJ6yPbpjTyc9DQCIaBaBtYPXwt+Pt4ac4Iu35N4RkisK4N9mvueWlHCCXDH60Z68V/bmd7JWh7XnRUhZhGi5nAj7ECuXE43Q+DjXFNewsWgj9pTtMXBmAOj2bSzaiGuKa063jTGGgvICeLXP7ejYMaYQGluFTxlAY/wTc2jjn/Btc0EBF6+Fz7nLlwvrR3N9oM2XZGqFE2A9loulODBCMHXftfFrhDgz5sqyhBjPB0G4AHJofJy7m9+NA+MOIDww3OTx8MBw/Dr+V9zd/G4nWwbsLNmJnl/3xE/nf3J63U7DGbFj9Nm8mfsPv2dPYMQI7jMxUdiUhLkyAC6SsPGLXirl9munvPi2ZehQYPp0fufyjf9y+bJ5+995p3H/J5802q5PXJz1pdbaODCWYm60bMnfXqDRZr79YaksS4jxfBCEi6A5BAJd47vi0luXEP5BU6fmyltXEBIY4gKrgI1FG3Wfve/t7RIbHI6zYscAtsdW4VvG4MGmr9FoOA1MSgpXPt+2GGtLLME3/su5c8Ds2U3tr6gwnRVcG29Dm16AbywX4zgw0dHc/mvXuPar1cDTT1svp3Vr830uFGv9LsbzQRAuhDQ0BABg+W/LMfXHqU33P78ck7tMdooNGqZB9m/ZuFF/AwCw8OBC1KpqIQuSITM1EwDQIrgFJneZDD+JlwwuNjQAISHW8yPdvMmlHrAVMbQ6tug3TJWvVltvs9BytRoaS7qX2FjuWGWl7baLpUHhq9Oxpg3igxj31kt1OKShcQ9IQ0OIytfHvwYAtA5rjZ9H/Yy7wrjw2WuOr3GaDcoGJWYVzEJWfhZm5s+EskEJAFA0KDAzfyay8rMwq2CWbr9XcPAgv9w/fHIEWUIMrY61MiyhXz6fNgsp99VX+eUwmjBBuDOjrUNsHRPfnEsHD9rvzGjLsuSIuELLRRAiQw4NAQAY03kMpnSZgorpFXgq6SlUTq/ElC5TMKbzGKfZEB4UjmMTjyE1jgsfrmZqg8/U+FQcn3gc4UGm9T4eCV89yfTp9mkZxNDqiKHjuXxZ/PxN77/fqOExpV3R6l7uu8++esS225zWRl+nI6TOli2banP4aH4A52u5vBAG4Le/Pl1NeXk5JPaI0gXy66+/ol27doKPiQ1paAgAaDKt5Ofnh2XPL3O6HW1kbZA/Jh+RH0ZCebtxJCYkIAQFowsQIA1wuk0ORYg2xh4tgxhaHTF0PI7K3aTfN+XlpnMYaVdj2YojbLeWc4lvnUuWAG+8wf1sS/4mZ2q5vJQcAKMAfAvgZRfb4kyOHj2KgQMHmpyys3TMEZCGhnA79v+xH91WN81Yu3/sfqS1SXOBRQ5EaNwSW7UM9sRWsdVWc+UD4sRqsVSHqTbYY398vGv0I2LcN3eqx80QS0NzB8D9AMoA3AOgGK4dLSgvL0dSUpLDQ14olUo88MADGD9+PL766iuUl5fzOmYMaWh8GG+Pz7KtmEtLP6D9AJS8UYL+7foDALYWb9Wd4zV9IJVy/13zbYetWga+mg1rL6sJEyzHZzGFcfl8bLFWpim0ffPJJ6ZjqOjXKxQ+fWMP5mK/iHXfrGEtfo5Wq0SYZB04ZwYASgGsd0Kdx44dQ9euXREWFoa0tDScPn3a6jX79u1D586dERISgi5duqCwsFB3bNeuXejQoQNCQkKQlpaG83qhEHJycpCYmIjQ0FD06dMH1X9FpA4ICMDBgwfx5JNPNqnL0jGHIVIqBrfG23I5/Xj2R4bZYDvO7XC1KQ5h/4X9LPdkLtNoNIwxxjQaDcs9mcv2X9ivO8dr+sBaPiMheYRsrY9PnidrdprKI6SfcygzU5gtpo6ZK9/SZpzLaNMm4eVMm2ZbX/OFTx4vZ+XnsnafvSw3lBi5nG4zxpIYYxLGGBhjfoyxe/7a7yjkcjmLjo5m8+fPZxUVFSwjI4N16tRJd9xUtm21Ws2io6PZ3Llz2eXLl9nf//531rt3b93xmJgY9tFHH7GLFy+y1157jb300kuMMcbq6uqYv78/W7duHSsvL2d9+/Zl7733nkHZ5rJtWzumhZJTCsDbHJpx349jmA02fst4V5viMryiD7RZlIW+pAHTmZ75IjQjszU7hw2zbq+5TN+WbDE+tmeP8H7SzzJua3/b09fWMGeTqezozsqkzScDupc4NWI4NN8w7kVqvH0rioWmyc3NZe3bt9d9r6mpYevXr9d9N+fQXL58md28eZMdOnSIjR07lt1zzz2644mJiWzu3LmstraWaTQaduev5+vmzZusWbNmbM2aNezmzZtMo9EwtVptULa7ODQkCvYAjOOzbDzTGHAuqUUSAC+Mz2KE1/WBWg28+Sb3mhCCVsvQranGiDdSKdCjB79z+di5cSO/srTB6fSnRyzZYnxMrebaLkQDwxjXZ9o2COlvMfraEpb6Vmu3fp8JuW/28sUXpvebssuHuQPgfQASwGB1k99f+1+CY7Q0FRUVSNSu7AMQERGBYcOGWbzGz88PixcvxqpVq3DPPfcgISEBar0p2XXr1mHmzJn44IMP0KlTJ3zyySfo0qULmjVrhg0bNmD+/PmYOnUq0tLSsGzZMtx7770OaJl9kEPjAWjjs9TcqoEEEt0LWxufhYEhslkkRnUa5V1LmvXwuj6wJaaLUM2ENi+R0BUvQu3kE1OGsUbtjz0v5QkTuGXaQmBM/L7Wal60K6d69OA2vv3LJy+TWH0mFL4xaZYu5VZWSaXiPGseiL52Rh8NGrU0jljxFB8fj7KyxpoVCgVSUlKwZ88e3HXXXSavKSgoQHZ2NkpKShATE4Mff/wRv//+OwBOwKtUKrF79240NDRg1qxZGDduHE6dOoXq6mpERETgwIEDUCqVmDRpEqZPn45t27Y5oGX24QH/yhI+GZ/FCK/rA1viefCNKQKIl5NH7LgjtpanbY9QZ8ZWLPX15s1ATAyXumDuXG57+mluH5/+FZqXydmxX4TGRtLPgeVD+Z/0R2dMoR2lueOAutPT03H9+nXMnz8fFRUVmDt3LtRqNWJiYsxeo1AoAAByuRwHDhxARkYG2F+jgxqNBunp6cjJyUFVVRX8/Pyg+SvtR1VVFXr16oWdO3eitrbW4JjbYXVSygvwFg2N6o6Khc4LZZgN3RY6L5Q13GlwtWlOw2v6ID+fn35jyRLhmgkhugyx7HSkHsUerZHQbcgQy329aZP1Miz1ry1tcaSGxxRi3HMP0drYo6HJZ6a1M8Zbvki2GnP06FGWkpLCwsLCWPfu3dmZM2d0x0xpaG7fvs1GjBjBQkNDWXJyMlu0aBHz9/dnV65cYYwxtmHDBta+fXsWHBzMkpOT2d69e3XXLlu2jCUmJrLg4GD2+OOPs8LCQoOy3UVDQ3FoPAifis9iBq/pA0fF/RA7Jw+f2C3aKQdLOKo9fNDmcdJogEuXLJ8bF8cF5jM3zZSQYD19grkyhLbFVbFf7InXo48HxK6xJw6NCsDWvz7NEQSg31+fhHkoDo0Pwic+i7djrg+2FG/xrLg0joovInZOHmt2SiRARga/mDGOaI81tHZ9+ikwcaL18ysqzPfNvn38ckGZK0NIW/g8A+Zi19iCfln79gGLFxvaYQtCnzUPIwjAi+A0Mua2F0HOjDMhh8aD6NeuH3IH5WLz0M1oG9kWecPykDsoF/3a9XO1aU7DXB9Eh0aj59c98dP5n1xtIn/45PIRiiNy8lizc+FC7jMuzvT18fGOb4859PuSby4nc3UKscXUuUKut/YMiKWRMldWRgbw9ttN77ktUP4nwknQKicPIq1NGtLQOK0ikUgw4qERLrTI+Zjrg/FbxgPglnH3vre3q8wTjrVcPkJxVE4ea3bqH6+sBP78E4iK4l6IzmjPkiWcKDc6mvt+7VpTG8+ds69OIX1m6lyheZnM9dnmzVzeKuPRSFtyfVkqa9Ei4LvvuFElvgJmU1D+J8JJkIaG8EiM49IsPLgQtapayIJkyEzNBOC6uDS1Fy7gjlJp9rh/aCiaJyRYL8iWpbDelpOHb3tKSoCDB833la36F/170LIlN4LxV9h33mUIbQuffFqWpq5ateLqCAy0bCdfvVVJCdC2rXBNjQc8a1rtRmJiIpo1a+Zqc3yWW7du6fJP2aOhoREawiNx17g0tRcuYPvzz1s9r++PP1p2ajZv5oKu6b9s4uI4LYil/761mpchQ7gXiv4LSMzcP86CT3teeol74VrqK776lwkTGvvG1D3gw6efmu5fMe4NHx1OVRU3OrZ6teVnha/e6uBB83abw0OeNelftjU0NJBD40IaGhoANN4PWyGHhvBItHFphm8cjl8rfjWISyOBBKnxqVg/eL3T49JYGpnhfZ69UwpazYsph+iTT2zTsrgSS+156SVuasRaX/HVcWh1NubugSVatgRWrnTsveHbjtpaYPBgYNMm82UK0VsNH27a7vh47h6sW+eRz5q/vz9CQkLw559/IiAgAH5+JCt1NhqNBn/++SdCQkLg72+fS0JTToRH06BuQOSHkVDebnQQQgNCcf3d6wiQBjjdnpqiIux88UWr5/XesAGRDzzQ9ICYy669LXqrcXtSU5uOzOij31f79nFiV2vk53P9JGR5dXg45zg89ZSwSMG23JuCAn7t0GJpGTrfsvLzGyMVm7Pbg5+1hoYGlJWVuW+wOB/Az88PSUlJCDQxTUpTToTPcLjysIEzAwDK20ocrjzsWXFptAhZdm0tHL4zc/8IwViXcuIEN60REgJ07gzcfbdpMbFxewoK+PdVt26W80Dp520SulS8rg64c4dLBXDuHFfW449zoxfmXuy23httO/jap11CbqouIX1izW53fdZ4EBgYiPvuu0837UE4n8DAQFFGx8ihITwa/bg0i55ZhLd2vYUtxVuwtXirZzo0jlh27U5Y06WsXdv4szXNkJC+EqJfsaVvjXVTy5Zxn3x0T0LQtmPwYP7XmGuPt+mt7MDPz09wYD3C/aAJQ8Kj8brYPI5adu0OaHUpQkYXhgwxH1tFaF/xjfsjZt9aa4MtDBoEzJnD/3xL7XFELCSCcBGkoSEIERFNQ+Mty6612JrCwFJ7be0ra3oPsUL/82mDrdibhsFUeR6qgSG8G9LQEG4NYwx7L+xF94TukNgTWt3BmIonU5Gfj/qaGgCANDAQgS1aGBzX3LEzt64zpgG0Ye4LCrjvPXpwm5gvW+OXo60pDMxphrR1DBnC9Ye5vnr1VS44nP5L2pLew7hcMdC2oaCgcUrLXqdBKgU++8z61JM2bUVBgeV6PVgDQxBayKEhnM7Okp14fu3z2DFyh9tG9eUbT8ZW/ENDzR905LLrzZuB114zDA43dy6/Jcd8yzdl95Ah9pWrrwMxVYefn2Euo8hI7vP99w3tsKRnMVUun8SbfBk6FPjLGeZljzUGDeJWV40eDSgUhsf8/IC33uJ+Nh4ZE1vXQxBuAk05EU5n/Jbx+Or4Vxj/t/FY1W+Vq80xCd+pI1PcP2oU7nnhBbPHHRop2BKbN1v/j95S3BI+5ZuK3cI3GJsltEuHrcWHmTYNiIgwdGT07QBMa0Os2T5tGucIvP22fe3gaw9f+NxTR9RLEE5CyPubHBrC4bhzmgJz2OPQPPT3v+MhPpmdnQlfDQtfzYUt5UulgEZje/h8wHqMHq24VUgcH0enALCEPfoaW3VJ9tZLEE6ENDSEW+GuaQq0mNLKyEtLnW6HQ+GrYbEUt0Qf49Ejtdp6+dqpG6EjNloty9Kl1uPOWLNBX8/Sqxe3j2/sn6VLgfHjha0wsoaQuELG2KpLsrdeZ0OCZYIn5NAQDsdd0xQAjtfKuA1CYqtYO9eU1kSrWbFG377A8eP8XsRSKZCRwf1s60iEOYYOBb74QlhaBDGnm4yxJfaNGLGI3D2eka05zQifhBwawim0kbVB/pj8JmkKQgJCUDC6wCVpCgD+uZc8HiGxVSyda05roi92tcT27cCGDVxGaG2k4Jwc4Ntvm56rVgMffcTfbiHU1DTmerI37sycOVwOqBEjbC/DFhvOnbO9PnvqdRb25jQjfA5yaAin4XVpCjwJviHzjUPd66NWc/8t26MfkUi4URetdkOt5qZxXIFW7FtSYjkFgCUkEm6kx548QFIpl5dKCGo1V6+tmEpr4E5YetYY4+yfNg3o35+mnwgd7qHAJHwC/TQFJW+UoH+7/gCArcVbRauj9sIF1BQVmd1qL1wQrS6PQhvfxhqffmr+BWGPZkOLvnZDrDLtQWuLtm+ExkXS6nYuXbLdBrUaWL6c+1SrgZ9/BmbO5Laffza9bFxIv5lqE2PA4sXiOwPaGEfr1nGfti55F5LTjCD+gkZoCKfRr10/dLqrE4YnD4dEIkHesDysK1yHBBmPJcw84KuH6fvjj/yWTdtIs+hoh5VtF9q4JcZxaAB+cWjE1Ftoy3IHDYdWT7Nxo+m+cQbTp3PxgFQqw5gy5mIE8e23adO4dplyDqZP5+LViDVtI6bexdtzmhEOgRwawmmktUlDGhqnliQSCUY8ZIfuwAi+ehhbdDNdP/wQsnvusRopuFl0NO4dOFBw+U5j0CBumN6WSMFi6i20+g930HBo9TRvv+0aZ0aLubqrq7lYM/oxgvj2W//+3HTW0KFNj4mpRRFb7+LNOc0Ih0FxaAivwZY8SnbnXvIl+OROio3ljvHNMQSImzfJHsSMCuwI9GME8c1jpY2dIyQuj1D4xvERUoe35jQjBCPk/U0aGoLwRkxpGezVN+jrcIx1GdrvEyYAXbtaL6uiApg9m9NALF4szA5H4c7ODMD1mXZk7bvvuL4GzN+LTz4BDh4UV4ti6hlyhN6Fz7Nmb04zwuugKSfCp7GYU8mG89wCU1qGli25T/1pDVv0DebyTJnKnWSNuXO5LS4O6NePW9Lt7k6FLYSFcZ/G+ZZswTgflLn7qs35tW4dv3L5aFHszdMlVO/iyJxmhFdCDg3h0zRPSEDfH3+0qKvhnXvJHTCnZTClz7BV36DV4Wijt547J8yRMaaiwrUrnRzByy9zUyZSKfDPf4o3nWYc76emhitbGwvHOJKuWFoUSxoZvlnJbdG7GD9rFCmYsABpaAivwef1MLbk9rFXi2BPPiFvREjuKUfUaXwPxdCi8NHIWHuNSKXAzZtAYKC11hCEAZTLiSB8Bf08N1evCn95Guf0EZo3x9VxZNwJrbZj8WKuX3btck7fWLuHixcDw4Y1dTz4alEKCqxrZKyhjbXzxhum66J8TYQIkENDeA1eqYexhClNg61cvmxbHBF3iQMiNOGlJSIj+ady0CcuDnjpJS6+i60ZsO1pg6V7+PbbnJ5GqBZl8+ZG8bG9TJ8OfPxx0+eJ8jURIkFTToRXYSpztj4epYexhDlNg63MmcOtOjIuT/tfvDmdTUEB0LOn9fJffpnL2eQJ7NnDjQ789BOwYAG/a5Ys4ZasDxvmuuXn1u7hd9815tDiMwoi9jOmb4v2eTJXh7XnjvAZhLy/yaEhCE9DTN2KNnYMYFscEaHxUNwh3ow5jNupVgMJCfxi6pw/bznei6ORSoGYGPMpGIRqpYQ8YxIJF3GY7wo1Z8bIITweikNDEM5ErPw1fBFLt6IfO8bWOCJ844UEBtqeL8lZMAa8+mrjd6kU+Owz69ctXmw93oujUast55MSGgtG6DOWkcHdVz73VmvL8uX8nrs33wQaGvjbQvgs5NAQhD1s3sz9J9uzJzBiBPeZmMjtdxS26FZatmyMWaIlLo4b0r/vPvvq1cYL0Y70GJevnTIwd158PJCZyZ3vat5/3/D+afNfaWPJmCIjA9iyxSnm2Y3YOZIiI7l7unCh6XtrifPn+Z23bBkQEgK88w7/sgnfhPkAcrmcAWByudzVphDexKZNjEkkjHH/SzZuEgm3bdrkmHrz85vWaWpbsoSxtWu58+/c4bb8fMN9QsrLz7dsl7ny+Z6n3T9tGj97HLUZ3z9z99kTN2v3UOgztmdP03u7ZAn/51Oo/ZmZ/OwnvAYh72/S0BCELTgif43QusXKc+NOeXPcJa4NX52HO6CfQ+vSJXHuYUMDNypiafrUXGwZR+qqKJ6Nz0EaGoJwNI7IX8MXqZRbVWPuZQE0xhbho++xJW+Oo3RD7hLXRnv/rOk87EEMLZG2jE8/bdT7mCqXMaBLF+683FzDe6ZWczFzXnkFGDiQW1rN556q1Zx2yBhH6qq08WwIwhQOHy+yg+eee46tXr2aMcbYqVOn2KOPPspatGjB3n77babRaHiXQ1NOhOisXctviHztWvHr3rSJsbg40/XFxxtOlRifFxdnfirM1Pn65Vk6z1K5QuDbr5GRTe3s358xqZTf9XynkF5/3TFTP9Ommb+HQjbj+2Pp2TDe4uK4KZywMNvrt/R82/M8WbsnhM8g5P3ttg5NTk4OA8BWr17N6uvrWWJiIps4cSIrKSlhzz//PPvqq694l0UODSE6YulOhGJNz/Hdd5bPs6bvsaaDcbRuSIh2Q9/ODRuE6VyGDOF3ni06D77Phbavs7JsL0d7v43v4Zw5jrFb6PMtRFc1dSr/e0L4DB6voampqcEDDzyAFi1a4L333kOLFi0wbtw4VFRUICQkBCdOnMDUqVOxf/9+XuWRhoYQHVfoTvjqdhwV38MZuiFb+tUW3Y2fH6DRWD7HEfFlLNkvNEaPuf52lg4pPl7c59se3Q7htXi8huatt97CwIEDkZKSAgA4ceIEUlJSEBISAgDo2LEjioqKzF6vUqlQW1trsBGEqPDRCTz9NDBtGqcXsDeOhloNLF3KT7fDN76HUH2PM3RDQvU8DQ22pX+w5swA3BL8pUuB5GRhZVvDVO6kCROEOTOA+f52lg7JWg4oS5jSYAUGcukRLDF9OqfbcVbMJ8KzcPh4kUD++9//svj4eCaXy9no0aPZ6tWrWUZGBpsyZYrBea1atWI1NTUmy3j//fcZgCYbTTkRomNq/j88nDE/P8N9UqntS05t0RjwOW/aNGF2OFM3xEd/kZnJXzPjDpsY+hE+95HvfRKzTnvvrVbPY64vpFJOI+Uo7RbhtnishubWrVvsvvvuY9u3b2eMMZ1D884777Dp06cbnBsXF8cqKipMllNfX8/kcrluu3jxIu8OIQjB6OsEhg2z/CIQ6tTYEgNFiO5DyMvA2bohS/qLzEzXOyhCN2O9i7V7O2aMbfeR732yZ7P1Htsa02f6dNfEfCJcjsdqaP7xj3+gvLwcubm5AIAxY8agR48euHr1KgoLC/Htt9/qzm3RogXOnTuHqKgoq+WShoZwCmJrAIRqIYTGTvHUeDV8+tkaUik37eSsP3+m8kRZ0yNZiy2jj76ehW8OKluw5x7bo+3Rtktsmwi3x2M1NGvXrsWWLVvQokULtGjRAmvXrsWUKVPw9ddf49ChQ7rzysvLoVKpEBkZ6UJrCcKI5cv5xe7gG0dDiBbCXHwPSzBmWfNirHMA+OlbAMfmtuLTz+bQ5hvKyGj87gyM+5qPHqmiAnjmGX5Ol37ZUinw7LP222zOro8/ts1xsEfbY+l+a/u2oMC5OdUIt8OtHJp9+/ahsLAQx48fx/Hjx9GvXz/885//xC+//AK5XI5vvvkGALBgwQI8/fTTkJI3TrgTfHPT8D1PSM4mU3mTpk2zvR5zOaoAy3mbAMfntuLbf0DTF6/WTltyD4mBtq/53ts1a4DgYGFlA8CVK4LMMom5/FUZGbbdT1tykAlh6FDn5lQj3A63cmji4uKQmJio28LCwtCqVSu0atUKK1euxKRJkxATE4ONGzdiwYIFrjaXIAxp21bc81q35nfekiXccLvWmdHSv79t9WzeDAwZ0vS/6cpKbj8AlJcD+fnA2rXcZ1kZt9/SdWK9XPj239Sp3PSesZ36Tl95Odd/zkLb13zvLQDU1wsre/NmYMcOYXYZ89NPwOrVpo/Zej+FtNkWamoMv4v93BFuj1tpaKxRWVmJI0eOIDU1lZd2RgtpaAin4CgNja2aFUfEdLE19omYOgex+7mhgRsFceSfQnMaGqGxZ6yVDdgXg8aRsYzsabOtmifS13g8HquhsUZsbCz69+8vyJkhCKcRGNiozTBHRgb/oGC25Fiy93pbY804M7eV2P188KDjnRnGgKee4kYMXnkF+PnnxpEhe3U8jAGvvsr9bG8MGsaAxYu5PhH7flp6Hs1hr+ZJzOeOcH8cvOLKLaDUB4RTMRUfRew4NKZimohxva2xZlyR26p/f9N19O8vrBxHx20JDja95DgszHLsFaFbXBwXH8aZ5dhyP809j6b6wlpuspYtnf/cEU7FY5dtOwqaciKcTkMDtxpHGzp/yhT7wrWr1dx/mZcvc1qEbt2Epy3gc31BASeotEZ+PtCjh/3X2YpW52Pqz5dEYiiQtgZf2/VZsAA4fRqoq+P6snVrToxqC999x03DWIuSaw3tSJC9CCnH1vtp7nm09pwaH1eruYjcjrKTcDlC3t/k0BAE0Yituh1nxqgRW6+jVgNt2nDxXvhgnMPI3txJsbFAaSnn+NqrqZFIuDxVYixZtqRbcRdtirvERiIchtdqaAiCcDC26nbs1fsIQWy9jlTK5Wziy+DBXNlap8Fe3UplJadZEaovMQVjjXbZq81Rq7nyTJXDGLBoEdd2U3Ff9GMY/fwzt+mfZyqXEx97jK9x5nNHuD8Onv5yC0hDQxACsVW3Y6/ehw+O0uts2sTpWsyVZ6yL0uYREkODo7XVnE6Er1ZEu02bJo42JyzMfN3m+sNafipT7bGWk8lc/idL+hqxnzvCJZCGxgiaciIIG7BVt2Ov3scajtTrqNXcaMK333L6mNatAX9/4PPPm56rHQGYPRt4/31h9Viy1VT/Ady+n38G5s7lV163bsKusRd7NDzavjSlfTKnlzK+xtHPHeESSENjBDk0BOFFuJteRxtt2Fb9S2wscOGC4/JpiZH7yhmIGReJ8BqEvL/9nWQTQTgExhgKygsAAD0Se0DirNw8hEUYY9h7YS+6J3QX/55odRNDhjQdFRCqm9DqMrS5qnr04DbttXxzLs2Zw43U2DJKsWRJ48hCdDS379o186MMEyaYHhEy1XZt7jB3d2YAQ+2TdrSKr17q55+5Npu7j9ag0R3vwKGTX24CaWi8lx/P/sgwGwyzwXac2+FqcyxzpYqxwhLu08vR3heH3hMx4vOY0oe0bNlYBl99zLRppu0x1pkYbxKJZd2ONZ2IpbZbO99dN33tE9/+NxXnR/8+Cn2OrGl6CKch5P1Nq5wIj2Zj0UaTP7sliptA1XXu08vR3guH3hNtLiZzuZossXkzt1qpurrpsepq7tjmzfzzD2mzjGvt0SYGtTYywhigUJg/rs1H9M47pvNkaZkzx7Dt5vJxeQL6fc63/02NiunfR3NYy1tGeaA8CtLQEB6Fhmmw7PAy7Dq/C/V36rHvj31QqVUAgCBpELq16YZg/2A8d+9zmNJlCvwkbuSzn78IVFwF4mKAtvGutkZUNEyD7N+ycaP+BgBg4cGFqFXVQhYkQ2ZqJgCgRXALTO4y2fX3RK0GEhK4l5Yl4uIaAyNacwzEzKdkqmxLsWXM5YkSUr+tuZLExJKGxp74PHFxnKNpPIVE+hyPgETBRpBD4z3UqeqQ8EkCrtdft3heRHAELky7gPCgcCdZxoPTJUDVDaBVC+DBe11tjajUqeqQ+Gkiam7VQAIJ/CR+UDM1pBIpNEwDBobIZpEof7Pc9fdESGTg/Hwui/PgwfzOz8oCWra0P+qvLezZw+lGli4VXn/Pnlxb7UFfPyRUS2TLKichmFrxxvc52LULeOYZ2+sm7IIC6xFeS3hQOI5POo5H7nrE7DmPtH4EJyadcP2LU4tGA1y4xDkzAPd54RK330sIDwrHsYnHkBqXCgBQM7XBZ2p8Ko5PPO4e9+TyZWHnDhrUOIVkjblzXePMAMCAAUBMjLD6tckfbXFmjMXecXHApk3cpl35ZYqWLbnN+Fpz6SoGDQLeftu+QIGm7jnf5+C557gpP8LtoREawiNpUDcgYkEEbt4x1KOEBoTi+rvXESANcJFlRtyqBwpLgJv1TY+FBAPJ9wLNgp1vl4NoUDcg8sNIKG8rdfvc7p4IGaEZNgxYv962fE/ezq5dQECA6ZVB+quGTK3cAvivKnL1CI2WzExg4ULbbSBsgqacjCCHxvvY/8d+dFvdzfSxsfuR1ibNyRaZQa0Bfj8N3FED98YDUZHAtRpOT+MvBR59kNNHeAnm7ot73RMBuZv8/IBbt7iXrb1aDm/BmdoSe/NkAdY1NHzvqVQK3LxpX5JZQjA05UR4PduKt+l+fuaeZ/B0UmPG3a3FW11hkmmkfsADbYEuyUB0S+5lENOS+/5AW69yZoDG+zKg/QCUvFGC/u36A3DiPeGTI0gqBSZO5FeeRsPFcZFKuf/OyZnhPrWruoTmYxKKvXmyAC5mkSnHSz8PFB+0MX30vzu6/YQgKLAe4ZH0a9cPwQHBuD/yfox4aAQAYO2ptThbfRbPtn3WxdYZERYCXK1uFATHtAQC/LnNy+jXrh863dUJw5OHQyKRIG9YHtYVrkOCLMHxlW/eDLz5puELMC6Oe2kZazPuu49/uefPc/qULVtEMdOjCA0FlI3Th4iLa3RmjEdOzPW1PQjROxnTsiWwcqVlewYN4rQ7I0cC9SamhY05f577FPKsEc7DgfFw3AYKrEe4nJI/GCv4jfskxGfTJtPB1SQSbjMOkpafzz/QW3KyfYHipk7ld96QIa4Pame8jR7N9dXatdznnTvC+9oehNwn7fbyy4zt2cPZyvfZ4Vv2kiXObT9BySmNIQ0N4XK8OAaNy7ElngjfWDT2JlyMiwOKi4HwcMtTElIpcNdd1u2xFVvjzBjnmXJ27BZH61yEaHSkUi5h6f33U+waJ0IaGoJwN+pVhp+EePDN97NvX+M+qRT47DPrZXfsaJtN+lqT//3Pur5CrXaMM6Ndlp2RYWgXXyorgVGjgFdeAf7xD649QvvaFrT6lO++43JXCbnu4EH+5wvR6PTpA/z7385pP2ET3jeJTxDuhEYDXLzSNAZN/F1eJwh2GXx1FsbnDRrExUwZPdp8+oH/9//4lR0UBKj0nFWt1mTQIE406giMR4+0sV300zno25GS0lT3wYe1a4XbZo/2xZQ+pWVLrn8tpYmwpW4h527fzm1il0uIBjk0BOEozMWgKb/ELd32shg0LoNvvh9T5w0aBPTvD/zzn9xmjIrniNq4ccDQoabjqvC1Tyg7d3JTK/p1Aubju2jbqj1+9arjggDa2mZzMWdqavhPlwmp+9w5/ucKwVH3nLAIaWgIwlH4WAwal2FNZ2FN1yBGrJObN4FmzUwfa2gAQkLEW9Yrlk5DjDxJpjAX94WvPZbugyUtkNB+EeO+22sDYRUh728aoSEIR6GNQRMU2LhEO6YlECkDVA2e58zoR3+1Ft3VmWjjiQwZ0nQaRl/LYs5We2Od9O9v3pkBOE2HmM4MYLk95jAVvXfIkMZl2GIxYYJtzwWf+6DtR0v3GeD0N9aeUzFi3Ohjz70hRIEcGoJwJGEhjT8bx6LxJNw97oY2nogpG7UaEnPYo3fo3x/4/nvL54ipp+DTHlOYun+OQkiMH3349tO0ady9NnWfAf7xccTWudh6bwjRIIeGIJyF4iZQdR0IDvQsh8acrqGykttvLqmgszHWiPAdReKrd9ixgxOFnjvHvbQ/+sjyyIzQ8s0xaRLw5JO2j4qJkQtJCLa2l+91/fsDixY1vc9btgh7TsXQuSxZwiUEdacRSx+GNDQE4Sw8MRaNs+OOuAJ7NTj2lm8Je/MHOUInYg5H95Ol8m2NRWTrffGG595DoDg0BOGOeGIsGltivLgr5nLv6Of0MY7TIoYuwlL51sjIsC8Zotg6EUsw5rh+snYfbH1OJ0ww7zyZ+pmPLYBj8zxRDimzkENDEHy4Wg2cPs99Cr2usAQ4XdI0Fo1GI7aV4mNrjBd3Y/Nm7r/xnj2BESO4z8REbj/QqMGJjTW8Li5OnCk1c+WbQyoFMjO5hJj24Ij7EhbGbcZo4+DYg633Qehzqn0e3n/f9HlxcVyMok2bhNti7VmzB0eW7QXQlBNB8MHW6aLiMuCKGScoJNj9Y9EUFHB/NK2Rnw/06OFoa2zDnIZE+5+2/svJ0Su5TK00unaNcwZOneKWO7dtC0yZYt/IjBa+988SI0dyfdWmDfDUU8D161zMHT79aStC74OQ57SmxrKmaM4cLiqy/tQUX1uEPGtCcWTZboyQ9zc5NATBB1sdmpI/gMpr3BLtdgmeF4vG0foSR+MLGiBL2BtrxjimjLv2J9/ntKSEcxgdYb8j+8Zd+90JkIaGIMTGVv2LqoH7bBEGRLfk/vDEtAS6JHMxatzZmQHs15e4cr5frQaWLvUeDZA5LPWxPfodgLtW/94WFPDrz4IC/vddjGeE73N68KCw54GvbY5+1rxJy+ZIHJbz240Qkn6cIAxQqxkrr2Ss4LfGrbyS2++I69yVTZsYi4tjjPvTyW3x8dx+IdfExVm+xpH2WtrWrnW8TY6Abx8L7Y+WLU2XERnJ73rj88zdd7GfEWvP6dq1/J8HR/WtLc+aELu9DCHvb5pyIghzmMvFBFjWv9h6nbvjLloCa9gSd8WdNUDmENrH5vQ70dGNxwCuH3r0MLy39sayMWWTo54RS8/pP/9pXgisz5w5wOzZ1m1z1rPmDVo2GyENjRHk0BA2YWsuJl/P4eTK+X6hcVc8VXvgzD4WK5aNvk2A858Rvu2IjeXqt2abNT2Ouevs0dB4qpbNDiiXE0GIga25mLwth5NQhMz36/832dAALF8OnD9v+0ofIXFX3D33jla/UVDAfdcfObG1j21BrFg2xjoPR9lvPEKTmsppZ37+mV87nnkGWLPGum3WNDP62PusSaVcVOIXXxS/bC+CHBqCsIR+LiYtAf6NjorY13kDtsSueecdYPFiQ9Hl229zgeWExGIREnfFnXPvbN4MvPYaUK235H/uXG5598qVgIqnOF2MODR8ywgIAG7fFq88oecCpnNWSaXChMamYuyYgs/UlRZ7n7XNm4Hp0x1TthfhA39dCYJwKnxz5GjPe+cdLi+SMWp1436+Tg3fupcsAd54wz3/o928GRg82PSx6mru2Jw5/MoSI18R3zL4ODNCyhN6rjk9i9BVU23b8jtPqeR3nr3PmjWdzscfkzPzF+TQEIQn4+hAcPr1/Pwz8O23gEIBPPFE4x9p/foffxw4epT7L1ehMF9eVBSnB9i9m/uDbInFi7nRCf3pJ0sC17g461oDd3Vm1GpuhMEaK1dyWo9Llyy3s1s3Yc+IqXO7dePKEmPayc+Pm66JiQFatQKqqkyfp28/H7T9Zq8ktHlz4OpVy7bxRSLh7tFDDwHffWc4/cX399VauyQSYOpUbro2Nta+33/tva+sBP78k/sdtbdMZ+PgFVduAS3bJrwSZy2L3rSJsbCwpktEJRLT+x2x9expud3GS4619hnbK5E4Z9m4reTn8++TOXMa22SunUKeEUvnbtrknPts630S0m/O3LTPonaTSoX9vgptl62//5Z+p5wVasEMQt7fcII9LoccGsLr2LSp6YvMES9tZ77IrG2ZmebbbdwHpl4m1uLmuAN8440A5mOlaNsp5Bmxdm7//s51AoTeJyH9Zs/G14Hne56131eh7bLl95/v75SLfncoDo0RtGyb8CqctWRXreby91y6ZHsZ+tg7jO/nxw3TV1ZaP1c73L9mDTcV5cjpODERkntpzx6gVy/T00QA/2eEz7nOfE3ExgIXLgi7V2LkrDJHVBSng7nrLmDYMEOhtjmEPOuWfl9taZeQ338hS/Lj412yLJyWbROEN+OoJbvGL0a1WjxnBrBfk6DR8HNmAK4PKiq4P77Dh9tXrzPp1k244yeVNr3PfFMULF3KvaCtnetMKiuFP7tanY+tOass8eef3Pb//h8/Z0YmE3b/LP2+2tIuIb//Qpbka1Na9OrV9JiztHxW8PKAGAThhdiyLNoamzdz/6n17AmMGMF9Dh1qk3luhRjLlp2JVAq8/DK/c69dM3+Mb7unT+cE1+6G0Ptmb84qawjpp65dbavDVJvtaRefPhTaz0OHcn8r9DH1tyMxsel5ToAcGoLwNIQui7aGdlmo8X9qNTXC7HJHxFi27Gz69+d3nqW2eWK79bHF/kGDuJQEsbGG+509UvDcc7ZdZ67N5tpla3lCz9Gnpob7W6F1Vsz97aisNDzPSZCGhiA8DTHDoIsV1t4aWv2LpWXGYv4p8uRQ8GJopKw9I0IQem/uvpv7tHW6Mi4OKC+3f/mxcaTgykpg2jT7pz4tER/fmBKBb9/zfVb1l1Vbaoctv/9CnhO+qR9E+h0U8v6mERqC8DQsDUMLDYMuVlh7a7z1FvDZZ9zP5mzmOzJhDVN9oE0jsG4d9yk02JoY8LVBe38lEtvvr5hTMIwBaWn8z1+6lNtM2c+HTz+17QWo7d/vvuO+Dx3KaUgCA7nPkSOBf//bdrssoS3zk0+4+vj2vZBnVauVstQOob//+s8JX/T1V3y1fM7CwSuu3AJatk14JZaW7PKF77LQ4GDTSzlN7dffpFJuuTVfmzMzrS8hFbrs11nxeixhiw1i3F9rMXuELln287O8tNfavRZy3xzVv6bOtdQuPpup+2KqHuM4NMbX2dsOW0MT2PKchIbyO2/tWuH26EHLto2gKSfCa7F3dQHfZaF79nB16UcKjosDXnrJ/DVjxnD/SRonmLRm865dtusQAO6/1I0bOe2BubDx2v9ktec5EntsEGP1iH4ZV6+azwlkDe3UU8+eQH6++XP022MporNGA/zyC7dPP/GmUGzpX1PTUvv2NSYCbdGCyyVmjawsbtWPuftibvrL1P0Uox1iRArevRuYP9+2MkyRn29XglQh729yaAjCl7FVj+PIWDj26j+cPMdvEWfFDBJqj6X77edneUrOUrJHV7VH7P4VU6cmpD53eE7E0l+RhoZwFIwxFJQXwAf8V0ILH82GrXocIbFwhGLLvL6pupcv52ej9r9yLWLqbcTqJ7Fssna/GbNetqXjQu67pTbxba8Y/WuqLjF1anxw5O+TUMTUX4nZR3ywa3LLQyANDWM/nv2RYTbYjnM7XG0K4QyEajaEzsfz1d7YM3++aRNjkZG26xpef53feZGRje0UW28jRj85QgNk7n5Pm2afloTvfbeWN4pve+3tX2t1ialTsYQzfp+EYqrtxulEzG326KGMoFxORpBDw9i478cxzAYbv2W8q00hHI2teZ7u3OGS4a1dy33euWO+Dr5J8/Lz7WvLnj22v1SXLOF/rlbQKnZ+rDlz7OsnR+bsMnW/xUryaOm+W2qTpftjqr32PId8+1bI74WtOOv3SSjGbef7+7hnj2gmkCjYCF/U0GiYBtm/ZeNG/Q0AwMKDC1GrqoUsSIbM1EwAQIvgFpjcZTL8JDTz6DU4M8+TMzQGt24BISHCrjHW0PDVAoitDVGrgYQE6+kazMVdcYWuoqGB629bp7Ss2WRP3CNTZbujBswW+PS7VArcvNlUZO9MnK0tAmloCADKBiVmFcxCVn4WZubPhLJBCQBQNCgwM38msvKzMKtglm4/4SU4ay7eWRqDf/9b2Pn6devHA+GDWNoQLdogaNaYMMF0P7lCV3HwIH9nxpb7bk/cI1PtdUcNmC3w6Xe1mjvPlThbWyQQcmi8lPCgcBybeAypcakAADVTG3ymxqfi+MTjCA8Kd5mNhANwRJ4nc5gLyR4XJ95y6PPnhZ1vXLfWxshI+20BhPUb33Pvu8++68XMV8W3rGnTbLvvYthqXIYtz6Er+laMetwhN5kzfu9thLJtezFtZG2QPyYfkR9GQnm7cSQmJCAEBaMLECANcKF1hEMQO8+TNQYN4iL8OirTbtu2/M575RVg3DjTdQ8axGVAfvpp++0R0m/23gtn30shZfXvDyxaJPy+i2GrqTKEPoeu6Fsx6nGXHF2O/r23EdLQeDn7/9iPbqu7Nd0/dj/S2ggIZ054Bi6Y43YoYmkL+MTWkEq5YG9i9Zu998IV99LRddoT40TM9rrb74m72eNGkIaG0LGteBsAYED7ASh5owT92/UHAGwt3upKswhH4eZz3IIJDAQyMiyfk5FhXShprV8kksZ6xOo3e++FM++lfh6kCRNsr7OhgTv+xhvcZ0OD4XE+bbK1bj4Yt5Mx9/g98bbfW1ch2toqN8aXl23vv7Cf5Z7MZRqNhjHGmEajYbknc9n+C/tdbBnhUJwVP8NZZGY2zYNjnCeKD9b6xRH9Zm+Zjr6X5uKNGMccsVankHtkqU2Oaq9Y7XQk3vZ7KwK0bNsIX55yInwYMfO8uAMNDVz03/PnOW3NlCm2LWG11i+O6Dd7y3TUvbSUP4gxYM4cTrRsrc533gE++sh8PZmZwMKFhvsstUns9lrLkzR7Nr92OgO1Ggs/eAHHju/Aw397HpnvbfXs31s7oVxORpBDQxAEYYRYsVjcPYaKu8WcMQHFDTOPkPc3rXIiCILwRYTEYrGULXn5cn4xVJYv55Z7i4GQ0Tqx2ulAtHHDam7VQAKJzmnRxg1jYIhsFolRnUY5JdQGYwx7L+xF94TukNibz8mJ+Jar58VUl1Tj4McuDrpEEITnIFbsE76xgoTGFDLHO+9wI0LTpwOff859hoRw+03hATFe3C1u2M6Snej5dU/8dP4np9QnFuTQeAG7Mnfh8/s+x+63d0NxReFqcwiC8ATEin3CN1YQ3/MsodXqGI8IqdXcflNOjYfEeNHGDQsJMEz1oY0bFi+Ld5otG4s2Gnx6CqSh8QJK/1uKb3t9CwAIjgzGu9XvutgigiDcHrFinzhLQ2NrPR4U48VVccPcWcNDcWh8jHueugdRD0YBAOpr6jFHOgfzQ+djfuh8fP7A5y62jiCswxhDQXkBfOD/K/dBrNgnYsUKsoYQrY4+HhTjxVVxw7wl95/bOTRbtmzBPffcA39/fzz++OM4c+YMAKCwsBBdunRBREQEMjMz6Q+fEa8df63xiwa4ffM2bt+8jZriGtcZRRA88dQ5e49HrLw8CxdyS7ONnQKp1PSSbVuwR6vjxvmH9OnXrh9yB+Vi89DNaBvZFnnD8pA7KBf92vVzaL3upuGxFbdyaM6fP4+xY8diwYIFqKysREJCAl599VWoVCq88MILeOSRR3DkyBEUFRVhzZo1rjbXrVjZeWXjFz8gICQAASEBiGwnUlI+gnAgnjpn7zQ0dxxX9qBBQHk5kJ8PrF3LfZaVCX/JL1zITfcsWQK8/jr3efOmOM4MYL9WR6x2OpC0NmkY8dAI3coiiUSCEQ+NcEqaGnfS8NiKW2lotm/fjoqKCkyaNAkAkJ+fj969e+M///kPxo0bh4qKCoSEhODEiROYOnUq9u/fz6tc0tAQhHvhznP2bsfVvcAv/YHuW4HoJ11tjetw93g3XoA75v7zWA1N3759dc4MABQXF+Pee+/FiRMnkJKSgpAQznPs2LEjioqKzJajUqlQW1trsHkzJTtKdD9PPT3VhZYQ3o5YWhdPmrN3qb5Hcxs4/BpwWw787zXuu6/iLK2OB+CoZ9LTc/+5lUOjT0NDAxYtWoQpU6agtrYWSUlJumMSiQRSqRTXr183ee0HH3wAmUym2+Lj3X+ozB6e/ehZvH7udTyz6BmE3RXmanMIL0YsrYsnzdm7VN9TvBSoO8f9XHcWOOvjIn9naHU8AEc9k67S8IiF2zo0WVlZCAsLw2uvvQZ/f38EBQUZHA8ODsbNmzdNXjtjxgzI5XLddvHiRWeY7FJa3tsSqW+lutoMwssRU+viVnP2FjQqLtP33LwEnMwCoP0vnAEnsrj9voyjtToegKOeSVdqeMTALVMf7N69GytWrMChQ4cQEBCAyMhIFBYWGpxTV1eHQDNDi0FBQU0cIIIghGOsddl4pvEPaVILbtTUHq3L4crDUN42nFZS3lbicOVh5/0RNdKoOLrNvDn6FqBpMNynUQHH3gbS1jquXk8gMFC8NAoegNs8k26OW4mCAaC0tBQpKSlYsmQJRo4cCQD473//i4kTJ+LcOW7otby8HB06dIBCoYCUR+wAbxcFE4SjqFPVIfHTRIMcM2qmhlQihYZpdDlmyt8st2l66N3d72LhwYUY0H4AFj2zCG/tegtbirfgndR38OEzHzqgRUZobgM/JHPTOeHtgPRTqLtd79A28+JqPvDzU+aP98oHYno4pm7C7XD076E747Gi4Fu3bqFv374YMGAA+vfvD4VCAYVCgW7dukEul+Obb74BACxYsABPP/00L2eGIAjbcbTWxeVz9iY0Km6h7yn7Bub/PPsBZV87rm7C7XCLZ9IDcKsRmu+//x4DBw5ssr+srAzHjx/HiBEjEB4eDrVajb179+LBBx/kVS6N0BCEfTSoGxD5YaTB9FBoQCiuv3sdAdIAF1r2/9u7+9go6jyO458tbSkN2wfODQhsaUvV2t6BGDgIzQUJfxS02NKLOZUEaXxo1UOuEsVEG0i8PwzCwf2BFWIMEAPVy6W0akRFTu6iMUJPGgxFC/RBK3KFrO1irRT6uz8WKm23u8U+zMz2/Uo23Z3dpd/55budD7O/mRmCju+ktzOkKz/9smxcvLS8XoqfOrLr3H1Zigrxjf+5j6WPFg/8/JKPpcmLhlYDHCciP4dhOHYPTUFBgYwx/W6pqakqKChQfX29du7cqbq6ukGHGQBDF2qui2OFmqOiEVznc4elf94k/e/fA79m8l1Syv2Sq89eaNc4acYDhJkxKiI/h8PIVoEmnGnTpik/P18ej8fqUoAxxennp+jn3L+k5grJ9DlJm7kiNe2Tzn08Mut8I+eVuXOLFNXnwIeo8dKczb/+98PRIu5zOMxseZQTAHu597Z7NXvKbD3w2wfkcrlU+adK7ftyn2YkzrC6tF+nZ45Kd5AnA3NU7r3tkeFf52DnlcksDf7a+KnSrL9e3WNkJLmk2X8NLMeYFHGfw2Fmqzk0I4U5NAB6sWKOSpg5O0F1d0nv/k7yf9VzFJaiInOuBBCMY+fQAMCosGKOSpg5O0FFxUi/3yHFJErzdxJmgBAINADGptGcozKIOTsDmrxI+uP5sX1hSmAQCDQAxqZrc1TkurpgBOeoDPW8MqEO8QYgiUADYCy7bY3kvjVw332rdOufR+b3pD2k4BOQFVietnrg917uHIGCgMhDoAEwdo3WHJVfO2fn5N+ltyYEjo4CEBJHOQFAuDP3DocbPcrpcof0jyTJdEmuGOm+H6To+P6vAyIYRzkBwI0YjTkqNzpn55MHAmFGCvz85MGRrxFwMAINAIyWwc7ZufBfqaXP2V9bqgLLAQRFoAGA0TLYOTv/6X+R3pDLARBoAGBUhTuvTN3fpI7m4M91NEsnt41YaYCTEWgAYLSFmrNTXx76vV9vH95agAhBoAEAO7n1yTDPj9C5cgCHI9AAgJ1k/kWKTwn+XHyKlLl2VMsBnIJAAwB284fKG1sOgEADALbzmzulaff2XjYtP7AcQFAEGgCwo5x9gTMES4GfOXutrQewOQINANhRdLw05+XA/Tu3cNkDIAyuSQ8AdpW5VsoolqLjrK4EsD320ACAnRFmgEEh0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcbEyfWM8ZIktrb2y2uBAAADNa17fa17XgoYyLQ+P1+SZLX67W4EgAAcKP8fr8SExNDvsZlBhN7HK67u1vfffed3G63XC6X1eWMqvb2dnm9Xn3zzTdKSEiwuhxbYoxCY3zCY4xCY3zCY4yCM8bI7/dr6tSpiooKPUtmTOyhiYqK0vTp060uw1IJCQl8SMJgjEJjfMJjjEJjfMJjjPoLt2fmGiYFAwAAxyPQAAAAxyPQRLjx48drw4YNGj9+vNWl2BZjFBrjEx5jFBrjEx5jNHRjYlIwAACIbOyhAQAAjkegAQAAjkegAQAAjkegiWBr1qyRy+XquWVkZFhdEhziwoULSktLU2NjY88y+gmDVVVVpfT0dEVHR2v+/Pmqq6uTRA9d78KFC/r00091/vx5q0uJGASaCFZTU6N3331XPp9PPp9PX3zxhdUl2UKwjfWXX36pefPmKTk5Wc8888ygrhsSqc6fP6+8vLxe4yPRT9cMtLGmhwJOnz6toqIivfTSS2ppadGMGTP0yCOPSKKHrqmoqFBGRoaefPJJpaSkqKKiQhI9NGQGEamrq8u43W7j9/utLsVWWltbzYIFC4wk09DQYIwxprOz06Smppri4mJz6tQpc/fdd5vXX3/d2kIttGTJErNt27ZeY0Q/BZw6dcokJyebN99803z//ffmvvvuMwsXLqSHrvP222+b8vLynseHDh0ysbGx9NBVPp/P3HTTTeb48ePGGGP27NljUlJS6KFhQKCJUDU1NWbixIlm5syZJi4uzuTm5pqmpiary7JcsI11ZWWlSU5ONj/++KMxxphjx46ZnJwcC6u01unTp40xptcY0U8BA22s6aGBlZeXm6ysLHroqubmZvPGG2/0PK6trTVut5seGgZ85RSh6urqlJ2drX379unEiROKiYlRcXGx1WVZbufOnVq7dm2vZbW1tVqwYIHi4+MlSbNmzdKJEyesKM8W0tPT+y2jnwLy8vJUUlLS8/irr75SRkYGPTSAS5cuafPmzXriiSfooau8Xq9WrlwpSerq6tLmzZtVWFhIDw0DTqw3RjQ1NSk9PV0+n48Ln0lyuVxqaGhQamqq1q1bp87OTm3fvr3neY/Ho6+//lrJyckWVmmt68eoL/opsLHOyspSaWmpzpw5Qw8F8eyzz+qDDz7QkSNHFBMT0+u5sd5DtbW1Wrx4sWJjY3Xy5Em9+OKL9NAQsYdmjEhKSlJ3d7fOnj1rdSm2Ex0d3e9043Fxcero6LCoIvujn6QXXnhBEydO1GOPPUYPBfHhhx/q1Vdf1d69e/uFGYkemjVrlj766CNlZ2erqKiIHhoGBJoI9fTTT+utt97qeXzkyBFFRUXJ6/VaWJU9TZo0Sa2trb2W+f1+xcbGWlSR/dBPvfXdWNNDvZ05c0YrV65UeXm5srKyJNFDfblcLs2ZM0e7du1SVVUVPTQMoq0uACPjjjvu0PPPP68pU6bo8uXLWrNmjVavXt3z/Sx+MW/ePL322ms9jxsbG/Xzzz9r0qRJFlZlL/TTL4JtrOmhX/z000/Ky8tTQUGB8vPzdfHiRUnS7Nmz6SFJhw4d0nvvvaeXX35ZUmAPsSRlZmbSQ0Nl9axkjJznnnvOJCUlGa/Xa5566ilz8eJFq0uyDfU5JNnj8Zjdu3cbY4wpLi42eXl5FlZnD9ePkTH0kzHGdHR0mNtvv908+uijxu/399wuXbpED11VWVlpJPW7NTQ00EPGmJaWFuN2u82OHTtMc3OzWbVqlcnNzeXv0DBgUjDGpL4TXvfv368HH3xQbrdbV65c0eHDh5WdnW1tkbCd/fv3a8WKFf2WNzQ06NixY/QQBuX9999XaWmpvv32W+Xm5uqVV16Rx+Ph79AQEWiAq1paWnT06FEtXLhQHo/H6nLgQPQQhooe+vUINAAAwPE4ygkAADgegQYAADgegQYAADgegQYAADgegQYAADgegQYAADgegQaALd11113atWuX1WUAcAgCDQAAcDwCDQBbKSkpkcvl0uHDh1VUVCSXy6WSkhJJgSs0z58/X4mJiSosLFRbW5skKTU1VSUlJZoyZYrWr1+v/Px8eTwe1dTUaOPGjVq2bJkWLVqkxMRE3X///Wpvb7dyFQGMAAINAFvZunWrfD6fcnJytH37dvl8Pm3dulU//PCDli1bpnvuuUfHjx9XR0eH1q1b1/O+trY2lZWVadOmTVq9erWysrJ04MABSdKBAwf08MMP6+jRo2psbFRZWZlVqwdghBBoANjKhAkTlJSUpOjoaMXHxyspKUkTJkzQO++8o5iYGJWVlSklJUWlpaWqrq7ued9DDz2k7OxsTZ48WStWrFBaWpq6urokSTk5OVq1apVuueUWrV+/XlVVVVatHoAREm11AQAwGC0tLWptbVVycrIkqbu7W36/X52dnZKkuLi4Xj+v5/V6e+5PmzZN586dG4WKAYwmAg0AW4qKitL1186dPn265s6dq4qKCkmSMUZtbW2KiYkJ+281Njb23G9ubtbNN9887PUCsBZfOQGwpYyMDB08eFBnz57VwYMHtXTpUjU1Nenzzz/XuHHjVFFRoaVLl/YKPQP57LPPtHv3btXX12vTpk0qLCwchTUAMJoINABsqaysTE1NTUpLS9Pjjz+uhIQEVVdXa8uWLcrMzFRlZaWqq6sVHR1+R/Py5cu1Z88ezZ07VzNnztSGDRtGYQ0AjCaXGcx/bwDAoTZu3KjGxkZO0gdEOPbQAAAAx2MPDQAAcDz20AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMcj0AAAAMf7P0tS70b7JiUiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Silhouette Coefficient:  -0.10510811007900309\n",
      "Calinski-Harabasz Index:  71.13225749751463\n"
     ]
    }
   ],
   "source": [
    "# 使用DBSCAN进行聚类\n",
    "def select_MinPts(data, k):  \n",
    "    dist_matrix = distance.cdist(data, data)    \n",
    "    k_dist = np.sort(dist_matrix, axis=1)[:, k-1]  \n",
    "    return k_dist  \n",
    "k = 2**2-1\n",
    "k_dist = select_MinPts(x_train[['temp','RH']], k)  \n",
    "k_dist.sort()  \n",
    "k_dist= k_dist[::-1]\n",
    "plt.plot(np.arange(k_dist.shape[0]), k_dist)  \n",
    "# 由拐点确定邻域半径\n",
    "m=40\n",
    "eps = k_dist[m]\n",
    "plt.scatter(m,eps,color=\"r\")\n",
    "plt.plot([0,m],[eps,eps],linestyle=\"--\",color = \"r\")\n",
    "plt.plot([m,m],[0,eps],linestyle=\"--\",color = \"r\")\n",
    "plt.xlabel('数据点索引')  \n",
    "plt.ylabel('第{}小的距离'.format(k))  \n",
    "plt.title('每个数据点的第{}小的距离'.format(k))  \n",
    "plt.show()\n",
    "MinPts = int(k+1)\n",
    "print('eps为{}'.format(eps))\n",
    "print('MinPts为{}'.format(MinPts))\n",
    "dbscan = DBSCAN(eps=eps, min_samples=MinPts)\n",
    "y_dbscan = dbscan.fit_predict(X)\n",
    "plt.scatter(X['temp'][y_dbscan==-1], X['RH'][y_dbscan==-1], c=\"green\", marker='*', cmap='viridis', label='class1')  \n",
    "plt.scatter(X['temp'][y_dbscan==0], X['RH'][y_dbscan==0],c=\"red\", marker='o', cmap='viridis', label='class2')  \n",
    "plt.scatter(X['temp'][y_dbscan==2], X['RH'][y_dbscan==2],c=\"blue\", marker='+', cmap='viridis', label='class3')  \n",
    "plt.scatter(X['temp'][y_dbscan==3], X['RH'][y_dbscan==3], c=\"gray\", marker='x', cmap='viridis', label='class4')  \n",
    "plt.scatter(X['temp'][y_dbscan==4], X['RH'][y_dbscan==4],c=\"brown\", marker='s', cmap='viridis', label='class5')  \n",
    "plt.scatter(X['temp'][y_dbscan==5], X['RH'][y_dbscan==5],c=\"orange\", marker='d', cmap='viridis', label='class6')  \n",
    "plt.scatter(X['temp'][y_dbscan==6], X['RH'][y_dbscan==6], c=\"black\", marker='1', cmap='viridis', label='class7')  \n",
    "plt.scatter(X['temp'][y_dbscan==7], X['RH'][y_dbscan==7],c=\"pink\", marker='2', cmap='viridis', label='class8')  \n",
    "plt.scatter(X['temp'][y_dbscan==8], X['RH'][y_dbscan==8],c=\"gold\", marker='3', cmap='viridis', label='class9') \n",
    "plt.scatter(X['temp'][y_dbscan==9], X['RH'][y_dbscan==9],c=\"purple\", marker='4', cmap='viridis', label='class10') \n",
    "plt.scatter(X['temp'][y_dbscan==10], X['RH'][y_dbscan==10],c=\"cyan\", marker='^', cmap='viridis', label='class11') \n",
    "plt.legend()\n",
    "plt.title(\"DBSCAN聚类分析\")\n",
    "plt.xlabel(\"temp\")\n",
    "plt.ylabel(\"RH\")\n",
    "plt.show()\n",
    "non_noise_indices = y_dbscan != -1  \n",
    "y_dbscan=y_dbscan[non_noise_indices]  #排除噪声点\n",
    "x_train_select = X[non_noise_indices]\n",
    "# 计算轮廓系数  \n",
    "score = silhouette_score(x_train_select, y_dbscan) \n",
    "print(\"Silhouette Coefficient: \", score)\n",
    " \n",
    "# 计算CH指数  \n",
    "score = calinski_harabasz_score(x_train_select, y_dbscan) \n",
    "print(\"Calinski-Harabasz Index: \", score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6e5d334e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用GroupBy进行聚类\n",
    "result = x.groupby('month').count()['Y']\n",
    "result = pd.DataFrame(result,result.index)\n",
    "result = result.rename(columns={'Y': 'count'})\n",
    "# 自定义排序键，将月份字符串映射到它们的顺序  \n",
    "month_order = {'jan': 1, 'feb': 2, 'mar': 3, 'apr': 4, 'may': 5, 'jun': 6,  \n",
    "               'jul': 7, 'aug': 8, 'sep': 9, 'oct': 10, 'nov': 11, 'dec': 12}  \n",
    "result.sort_values(by='month', key=lambda x: [month_order[month] for month in x], inplace=True)  \n",
    "result.plot(kind='bar', stacked=True)\n",
    "ax = plt.gca()   \n",
    "for p in ax.patches:   \n",
    "    height = p.get_height()   \n",
    "    x = p.get_x() + p.get_width() / 2  \n",
    "    ax.text(x, height + 0.5, \n",
    "            '{:.0f}'.format(height),  \n",
    "            ha=\"center\")\n",
    "plt.title('火灾各个月份发生的次数')\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('次数')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
